Why Housecall Pro?

Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America’s 100 million homes. We’re all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and—ultimately—save time so they can be with their families and live well.

While our headquarters are based in Denver, Colorado, our team spans the globe, with teammates across Brazil, Poland, the Philippines, Mexico, and beyond. We care deeply about our customers and foster a culture where our company, people and Pros grow and succeed together—no matter where they’re based. Leadership is as focused on growing team members’ careers as they expect their teams to be on creating solutions for Pros.

We also offer:

• A generous benefits program that supports the whole you with medical, dental, vision, life, disability, and 401(k)
• Paid holidays and flexible, take-it-as-you-need-it paid time off
• Monthly tech reimbursements
• A culture built on innovation that values big ideas, no matter where they come from

Role Overview: As an Associate Builder, you are a curious and adaptable professional with a passion for using modern technology to improve real-world workflows. You thrive in ambiguity and actively seek out opportunities to make work more efficient and impactful. You begin by getting to know the business—how it operates and where teams need the most support—and then apply that understanding to build tools that optimize operations. You are a hands-on builder who enjoys uncovering challenges and creating lasting value through digital tools. You must be in or near the Denver area, and you will be in office 3 days per week.

Our team is passionate, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success.

What you do Each Day

• Design and build AI-enabled workflows and digital solutions from scratch
• Identify and diagnose inefficiencies within assigned business functions
• Implement scalable process improvements using no-code/low-code tools and AI
• Embed within cross-functional teams as a hands-on solutions builder
• Research and test emerging AI tools to solve real business problems
• Translate team-specific challenges into problem statements solvable with automation
• Document findings and present digital prototypes to stakeholders
• Manage assigned projects to deliver consistent, high-quality results on time
• Measure and evaluate the impact of the digital solutions you implement
• Proactively bring new capabilities to the business before they are requested

Qualifications

• 4+ years of professional experience, or equivalent work experience
• 1-2 years experience using AI or automation tools to increase quality and efficiency of work; prefer 2+ years working with automation tools (i.e. Zapier)
• Familiarity with one or more generative AI platforms (i.e. ChatGPT, Gemini, Claude…)
• Experience in building automations (i.e. Zapier, n8n, Airtable…)
• Demonstrated ability to leverage AI tools to improve workflows, streamline execution, or enhance outputs
• Bachelor’s degree or equivalent work experience

What will help you succeed

• Exceptional breadth of interest shown through tangible, self-initiated ventures or deep community involvement; you love trying new things and possess a demonstrated history of successfully pivoting or starting over in life and work
• Adaptability and openness to new challenges
• Strong sense of initiative and accountability
• Comfort with ambiguity and a proactive learning mindset
• Confidence in building and maintaining effective relationships with stakeholders
• High-level presentation skills with the ability to communicate ideas clearly

Location Dependent Information:

This role is open to candidates, with an expected base salary range of $85,000-$100,000. The specific hourly rate for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Housecall Pro’s the following benefits: health care insurance (medical, dental, vision, disability), employee assistance program, 401(K), flexible time off, paid parental leave, tech reimbursement, and other company benefits. Housecall Pro is growing fast and we’re scaling our team to help enable and accelerate our growth.

Use of Artificial Intelligence in Hiring and Engagement Processes:

We may use artificial intelligence (AI)-powered tools to support the review and evaluation of employment and independent contractor applications, including screening and qualification assessments. All final hiring and engagement decisions are made by human representatives, not AI tools.

Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service.

Housecall Pro’s brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success.

We support more than 50,000 businesses and have over 2,000 ambitious, mission-driven, genuinely fun-loving teammates across the globe. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we’d love to hear from you.

Housecall Pro celebrates diversity and we are committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law.   #LI-Remote

Privacy Notice for California Job Candidates - Housecall Pro

Realize your potential by joining the leading performance-driven advertising company!

As our Salesforce & GenAI Builder you will be responsible for designing, developing, and implementing solutions on the Salesforce platform and other business application platforms, as well as architecting and deploying GenAI-powered solutions that improve and transform business processes. You will serve as a technical expert, ensuring scalability, reliability, and performance of our business application environment

Are you a highly skilled individual with a passion for Generative AI and a deep, hands-on understanding of Salesforce? Are you ready to take the next step in a dynamic career at the intersection of CRM implementation, development and cutting-edge technology?

Taboola’s Information Systems department is expanding, and we have a unique opportunity for you to join our team as a Tech Specialist focused on Salesforce implementation and Generative AI innovation. We are seeking a skilled, passionate individual who possesses a strong technical background, deep Salesforce expertise, and hands-on knowledge of GenAI tools and architectures.

To thrive in this role, you’ll need:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 2+ years of hands-on experience as a Salesforce implementer/business analyst.
• Hands-on experience with Salesforce flows.
• Strong understanding of the Salesforce platform, architecture, and implementation best practices.
• Experience with Salesforce integrations using REST and SOAP APIs.
• GenAI knowledge and enthusiasm: prompt engineering, LLM models and MCPs and AI-assisted development (e.g., using LLMs for code generation).
• Strong problem-solving and analytical skills, with a focus on understanding and improving business processes.
• Excellent communication skills and the ability to work effectively in a team environment.
• Strong can-do attitude, passion for innovation, and a high level of self-learning ability.

Nice to Have

• Development experience (Apex, JavaScript, Python, or similar).
• SQL and SOQL knowledge.
• Knowledge of other new-gen technologies and platforms.
• Salesforce certifications.

How You’ll Make an Impact:

• Design and develop custom Salesforce solutions - including Flows, Lightning Components and Apex classes/triggers - leveraging GenAI tools to accelerate and support your coding work.
• Architect and implement GenAI powered solutions on Salesforce, Google platform and other business application platforms to meet business requirements and improve existing processes.
• Integrate Salesforce with third-party systems, GenAI services, and APIs using REST and SOAP.
• Work closely with global business users to understand their processes, challenges, and goals, and translate them into technical solutions.
• Provide technical expertise and architectural guidance to ensure scalability, reliability, and performance of the Salesforce environment.
• Maintain code quality and ensure best practices for development, implementation, and deployment are followed.
• Continuously learn and keep up-to-date with Salesforce platform updates, GenAI advancements, and emerging technologies.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-HH1

Peek is the operating system powering the experiences industry - from museums and attractions to tours and activities. With over $7B in bookings, Peek’s AI-powered platform has helped thousands of merchants to increase revenues, save time, and deliver seamless guest experiences. Customers include MoMA, Whitney Museum, Seattle Aquarium, Bryant Park & Looping Group. The company has raised over $150 million from institutional investors Westcap, Goldman Sachs, and SpringCoast Partners. Learn more at www.peek.com.

As a remote-first company recognized by Forbes as one of America’s Best Startup Employers and by Built In as a 2025 and 2026 Best Place to Work, we are a global team of “Peeksters” who “Obsess Over Our Customers,” “Accomplish Big Things,” “Collaborate With Purpose,” and “Get Better Every Day.

About the Role

Peek Pro is building AI-native GTM infrastructure — and this role exists to build and run it. You will partner day-to-day with RevOps to design, deploy, and optimize AI agents and automated workflows across the full GTM motion: inbound, outbound, campaign ops, and pipeline tooling.

This is a hands-on, business-first engineering role where you’ll identify inefficiencies, scope solutions, and ship them without waiting for a playbook. You will not be training models. You will be applying the best AI tools available to create compounding leverage across our go-to-market teams.

Who You Are

• You come from a RevOps, BizOps, Operations, Analytics, or Product background.

• You’ve worked in fast-paced tech environments (startups or growth-stage companies) where figuring things out and driving impact mattered more than fancy titles.

• You have hands-on experience using AI tools — Claude, OpenAI, Gemini, or similar — to solve real business problems and automate workflows.

• You’re comfortable with Python or JavaScript — not a full-stack engineer, but able to build, connect, and ship things that work.

• You’re outcome-driven: you focus on solving business problems, not training models from scratch.

• You’re curious and scrappy, and you learn as you go — even without a clear playbook.

• You can communicate complex AI concepts clearly to business teams and enjoy helping others learn.

• You’re proactive by nature — you see what’s broken and move toward it.

• You have a strong grasp of business context — you understand why a workflow matters, not just how to build it.

What You Will Build

• Inbound lead triage and routing agents: AI-powered qualification and routing that creates faster response times, increases rep customer-facing time, and enables the PLG self-serve motion

• Outbound reply automation: an AI layer that handles the repeatable, low-leverage steps of initial outreach - personalizing at scale and escalating to a human only when a qualified conversation is ready

• Campaign setup automation: eliminate the manual rebuild cycle for conferences, webinars, ABM targeting, and CSM target lists so teams spend time on strategy, not setup

• TAM expansion and market data enrichment: ongoing maintenance and expansion of Peek’s addressable market data - keeping core GTM fields accurate and continuously updated as a foundation for forecast integrity and outbound targeting (powered internally by tooling you will help maintain and improve)

• Human-in-the-loop workflows: design flows where AI handles the repeating work and humans review, approve, or intervene at the right moments - ensuring quality without removing judgment where it matters

• Agent infrastructure maintenance and improvement: co-own and evolve existing AI agents alongside RevOps leadership - refining rule sets, improving data structures, and expanding capabilities as the GTM stack grows. Examples include forecast tracking, pipeline analysis, and churn reason classification agents, with more to come as the fleet expands

• Agent quality and efficiency: drive improvements to output quality and token efficiency across the agent fleet over time

What You’ll Do (Day-to-Day)

• Identify and prioritize automation and AI opportunities across GTM, RevOps, Sales, and Operations teams.

• Build and integrate AI-powered tools using LLMs, APIs, and automation platforms — from quick prototypes to production internal tools.

• Work with diverse data types — primarily text-based GTM data (email, conversation logs, lead info), with occasional audio or structured data integration depending on use cases.

• Act as an internal AI consultant, guiding teams on what’s possible, where to start, and how to think about GTM automation.

• Evaluate and integrate third-party AI tools and services where they accelerate GTM impact.

• Maintain and improve the agent fleet — monitoring quality, optimizing token usage, and expanding capabilities over time.

• Stay current on LLMs, AI tools, and automation trends, bringing in what’s useful and relevant to GTM.

• Partner with RevOps leadership to shape the AI/automation roadmap with a strong focus on near-term, measurable impact.

Core Stack

n8n, Claude (Anthropic), Pinecone, Supabase, Salesforce, Python scripting, and API integrations.

Experience with this exact stack is a plus — comfort learning it quickly is required.

What We’re Looking For

• 3–5 years of professional experience, ideally starting in ops/analytics/revenue operations and transitioning into AI-driven or automation-heavy work.

• Hands-on experience building with LLMs, automation platforms (n8n, Zapier, Make), or custom Python/JS scripts.

• Comfortable with Python or JavaScript — able to build, connect, and ship things that work independently, without needing a large engineering team.

• Strong understanding of business needs and how to use AI and automation to meet them.

• Outcome-focused mindset — you measure success in efficiency gains, pipeline impact, and team capability, not lines of code.

• Proactive and scrappy — you see inefficiencies and jump in to solve them, learning as you go.

• Clear communicator — you can explain complex AI concepts to business teams and help them think about what’s possible.

• Strong written and async communication skills in a remote environment.

• Comfortable building and shipping independently without waiting for a full engineering team.

What This Role Is Not

• Not a BI or data analyst role. You will not be building dashboards or writing SQL to answer reporting questions.

• Not an ML engineering or research position. You will not be training models from scratch or building the next GPT.

• Not a traditional software engineering role. This is hands-on, business-first AI work focused on applying existing tools to create real value — not building foundational models or infrastructure.

If you love to figure things out, move fast, use AI to make things better, and want your work to show up directly in pipeline, efficiency, and team capability metrics — this is the role.

Reporting

This role sits on the DAISY team (AI/Data org), with day-to-day direction from RevOps leadership on build priorities, roadmap, and GTM tooling.

The Interview Process

• Interview with Recruiting Manager

• Interview Hiring Manager

• Assignment + Data Test

• Interview with Director of Revenue Operations

• Executive Interview with CMO

Peek Travel Inc. is an equal-opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, disability, or other legally protected status.

If you are unable to apply due to incompatible assistive technology or a disability, please contact us at talent@peek.com.  We will make every effort to respond to your request for disability assistance as soon as possible.

Forward Deployed Engineer (FDE)

ABOUT Wonderful

Wonderful enables enterprises to build, test, deploy, and monitor AI agents for their most complex needs, serving customers and employees seamlessly across voice, chat, email, and back-office systems in any language or cultural context.

Role Overview

As a Forward Deployed Engineer (FDE) at Wonderful, you’ll solve high-impact, real-world problems alongside enterprise customers and own work from first principles through production outcomes.

You’ll work directly with customers to understand critical workflows, design AI-driven solutions, and deploy agents that operate reliably in production. You’ll own projects end-to-end from problem definition and system design to launch and iteration - and be accountable for real business impact.

This is a hands on-generalist rolefor engineers who enjoy navigating ambiguity, learning quickly, and working across systems while partnering with enterprises as they become AI-driven organizations.

What You’ll Do

• Partner with customers to understand operational challenges and success criteria

• Translate open-ended problems into clear technical designs and implementations

• Build AI agents that integrate with customer systems and perform real tasks

• Own deployments, including reliability, performance, and continuous improvement

• Test with real data, measure outcomes, and iterate based on results

• Collaborate with Product & Engineering to ship high-quality solutions

• Contribute to tools, documentation, and best practices that scale customer delivery

What We’re Looking For

• 5+ years of experience in software engineering or technical problem-solving roles

• Strong fundamentals in software design, system thinking

• Experience working across systems, integrations, and data flows

• Comfort working directly with customers and owning ambiguous problems

• Clear communication skills and a strong ownership mindset

• Curiosity and interest in building AI-powered systems that work in practice

Nice to Have

• Experience in forward-deployed, solutions engineering, or customer-facing roles

• Exposure to AI agents, automation, or conversational systems

• Experience operating and improving production systems

Forward Deployed Engineer (FDE)

ABOUT Wonderful

Wonderful enables enterprises to build, test, deploy, and monitor AI agents for their most complex needs, serving customers and employees seamlessly across voice, chat, email, and back-office systems in any language or cultural context.

Role Overview

As a Forward Deployed Engineer (FDE) at Wonderful, you’ll solve high-impact, real-world problems alongside enterprise customers and own work from first principles through production outcomes.

You’ll work directly with customers to understand critical workflows, design AI-driven solutions, and deploy agents that operate reliably in production. You’ll own projects end-to-end from problem definition and system design to launch and iteration - and be accountable for real business impact.

This is a hands on-generalist rolefor engineers who enjoy navigating ambiguity, learning quickly, and working across systems while partnering with enterprises as they become AI-driven organizations.

What You’ll Do

• Partner with customers to understand operational challenges and success criteria

• Translate open-ended problems into clear technical designs and implementations

• Build AI agents that integrate with customer systems and perform real tasks

• Own deployments, including reliability, performance, and continuous improvement

• Test with real data, measure outcomes, and iterate based on results

• Collaborate with Product & Engineering to ship high-quality solutions

• Contribute to tools, documentation, and best practices that scale customer delivery

What We’re Looking For

• 5+ years of experience in software engineering or technical problem-solving roles

• Strong fundamentals in software design, system thinking

• Experience working across systems, integrations, and data flows

• Comfort working directly with customers and owning ambiguous problems

• Clear communication skills and a strong ownership mindset

• Curiosity and interest in building AI-powered systems that work in practice

Nice to Have

• Experience in forward-deployed, solutions engineering, or customer-facing roles

• Exposure to AI agents, automation, or conversational systems

• Experience operating and improving production systems

ABOUT NYMBUS:

Nymbus (https://nymbus.com/) isn't just a leader in fintech; we're a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel.

Here, you won't just be part of a tech revolution. You'll be at the helm, driving change. You'll fit right in if you're a creative thinker who's eager to reduce technical debt and increase agility for banks and credit unions. Our culture thrives on collaboration, integrity, and a client-first approach.

We operate with an AI-first mindset across all aspects of our business, continuously improving our efficiency and increasing the value we deliver to clients. We're looking for individuals who are intensely curious about emerging technologies and passionate about innovation.

Your journey with us won't simply advance your career; it will offer the chance to help shape an industry alongside like-minded professionals. We're excited to consider you a key player in this transformative chapter. Thank you for considering a role with Nymbus.

WORK ENVIRONMENT:

We are primarily a remote-first company, but you may need to travel to visit client sites or attend meetings at designated locations with your team members.

ROLE OVERVIEW:

The Applied AI Analyst operates at the intersection of business, data, and AI to solve complex problems and drive measurable outcomes. This role partners with functional leaders to bring analytical rigor, structure, and AI-enabled solutions to high-impact decisions, workflows, and strategic initiatives.

Applied AI Analysts do not operate in theory alone—they are hands-on builders and problem solvers who design, prototype, and deploy AI-driven approaches that improve efficiency, decision-making, and business performance.

CORE RESPONSIBILITIES:

• Problem Structuring & Analysis
• Break down ambiguous business problems into clear analytical frameworks
• Develop insights that inform decisions across product, engineering, operations, and go-to-market functions
• AI-Driven Solutions
• Design and prototype AI-enabled workflows, tools, and use cases
• Apply AI to improve efficiency, quality, and scalability of work
• Identify and prioritize opportunities for automation and augmentation
• Workflow & Process Optimization
• Analyze existing workflows to identify inefficiencies, gaps, and bottlenecks
• Redesign processes to improve speed, consistency, and outcomes
• Implement repeatable, scalable solutions
• Data & Insight Generation
• Build models, dashboards, and frameworks that drive visibility into performance
• Synthesize large volumes of structured and unstructured data into actionable insights
• Reusable Asset Development
• Create templates, playbooks, and tools that can be leveraged across teams
• Turn one-off work into repeatable, scalable capabilities
• Cross-Functional Partnership
• Work across teams (Product, Engineering, Operations, Sales, etc.) to support high-priority initiatives
• Translate between technical and business stakeholders
  

WHAT SUCCESS LOOKS LIKE:

• Measurable improvements in efficiency, quality, or revenue outcomes in assigned functional area(s)
• AI solutions that are adopted and reused across teams
• Better, faster decision-making supported by data and analysis
• Reduction in manual effort and process variability
• Creation of scalable frameworks, not one-off outputs
  
  

CORE SKILLS & CAPABILITIES:

• Strong analytical thinking and problem-solving ability
• Ability to work with ambiguity and define structure
• Experience applying AI tools (e.g., LLMs, automation tools) to real-world problems
• Process design and optimization mindset
• Clear communication and ability to influence stakeholders
• Bias toward action, experimentation, and iteration
  
  

WHAT TO EXPECT:

Thanks for your interest in the Applied AI Practice at Nymbus. We've tried to make this process transparent and respectful of your time. Here's what it looks like, end to end:

• Apply. Submit your résumé through the posting. We'll ask two quick questions up front — your work authorization and your compensation expectations — so we can make sure we're aligned before either of us invests time.
• A short video interview. If your background looks like a fit, we'll invite you to a brief one-way video interview you can record on your own schedule — a few questions, no live scheduling required.
• A conversation with the hiring manager. A 1:1 conversation with the Director of Applied AI — partly for us to learn how you think, partly for you to dig into the role, the team, and whether it's the right fit for you.
• A short build exercise. A small, hands-on project shaped like the actual work, built with whatever AI-native tools you like. Plan for a few hours; you'll have a 72-hour window so you can fit it around a job or classes. We care how you think and build, not how long you spend.
• A brief online assessment. A short, standard assessment that all Nymbus candidates complete.
• Offer. If it's a match, we move to an offer.
  
  

We try to move quickly and keep you informed at each step. Questions along the way are always welcome.

BENEFITS:

• Opportunities for progressive role seniority and compensation growth based on the candidate's knowledge and experience
• Competitive annual salary, performance-based cash bonus, and equity options
• Fully remote work environment
• 401(k) retirement plan
• Comprehensive health, dental, and vision insurance
  
  

Ready to join? We invite you to watch this video and learn who we are and how we build and innovates together!

Let's Go!

Company Description

We Elevate. Digitally.

SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.

With 2,200 people across 12 countries, we’re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.

Job Description

About the role

The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.

This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.

You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else’s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.

What you will do

• Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build

• Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one

• Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do

• Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought

• Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe

• Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster

• Support Data & AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards

• Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover

Qualifications

• Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials

• Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation

• Experience building RAG applications

• Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows

• Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible

• Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions

• Experience setting up CI/CD pipelines and automation

• Able to take a prototype through to a production-grade build, not just one or the other

• Strong collaboration and communication skills, ideally from an agency or consulting setting

• Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build

• Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing

Nice to have

• Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI

• Hands-on with Anthropic’s managed agent infrastructure (Claude managed agents, the agents API)

• Prior work on evaluation methods for LLM outputs

• Experience in e-commerce, or from an AI, agentic, or workflow automation background

• Comfortable presenting technical work and learnings to a non-engineering audience

Additional Information

How we will work together

You will report into the Data & AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.

How to apply

Send a short note covering:

1. One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible

2. How you would take an agent that touches real client systems from a quick prototype to something safe to run in production

3. Your notice period and earliest start date

Why you’ll love working at SQLI?

• A flexible remote working policy: 3 days per week
• Continuous learning opportunities and certifications to support your development
• Personalised support: career follow-up, diverse projects, and strong team collaboration
• Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups

Company Description

We Elevate. Digitally.

SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.

With 2,200 people across 12 countries, we’re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.

Job Description

About the role

The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.

This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.

You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else’s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.

What you will do

• Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build

• Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one

• Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do

• Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought

• Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe

• Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster

• Support Data & AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards

• Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover

Qualifications

• Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials

• Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation

• Experience building RAG applications

• Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows

• Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible

• Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions

• Experience setting up CI/CD pipelines and automation

• Able to take a prototype through to a production-grade build, not just one or the other

• Strong collaboration and communication skills, ideally from an agency or consulting setting

• Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build

• Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing

Nice to have

• Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI

• Hands-on with Anthropic’s managed agent infrastructure (Claude managed agents, the agents API)

• Prior work on evaluation methods for LLM outputs

• Experience in e-commerce, or from an AI, agentic, or workflow automation background

• Comfortable presenting technical work and learnings to a non-engineering audience

Additional Information

How we will work together

You will report into the Data & AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.

How to apply

Send a short note covering:

1. One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible

2. How you would take an agent that touches real client systems from a quick prototype to something safe to run in production

3. Your notice period and earliest start date

Why you’ll love working at SQLI?

• A flexible remote working policy: 3 days per week
• Continuous learning opportunities and certifications to support your development
• Personalised support: career follow-up, diverse projects, and strong team collaboration
• Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups

Company Description

We Elevate. Digitally.

SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.

With 2,200 people across 12 countries, we’re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.

Job Description

About the role

The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.

This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.

You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else’s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.

What you will do

• Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build

• Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one

• Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do

• Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought

• Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe

• Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster

• Support Data & AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards

• Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover

Qualifications

• Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials

• Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation

• Experience building RAG applications

• Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows

• Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible

• Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions

• Experience setting up CI/CD pipelines and automation

• Able to take a prototype through to a production-grade build, not just one or the other

• Strong collaboration and communication skills, ideally from an agency or consulting setting

• Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build

• Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing

Nice to have

• Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI

• Hands-on with Anthropic’s managed agent infrastructure (Claude managed agents, the agents API)

• Prior work on evaluation methods for LLM outputs

• Experience in e-commerce, or from an AI, agentic, or workflow automation background

• Comfortable presenting technical work and learnings to a non-engineering audience

Additional Information

How we will work together

You will report into the Data & AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.

How to apply

Send a short note covering:

1. One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible

2. How you would take an agent that touches real client systems from a quick prototype to something safe to run in production

3. Your notice period and earliest start date

Why you’ll love working at SQLI?

• A flexible remote working policy: 3 days per week
• Continuous learning opportunities and certifications to support your development
• Personalised support: career follow-up, diverse projects, and strong team collaboration
• Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

• Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations.
• Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.
• Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

• Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.
• Translate ambiguous business needs into clear technical requirements and executable solutions.
• Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

• Create and maintain clear technical documentation for all tools, workflows, and integrations you build.
• Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
• Understanding of prompt engineering best practices.
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
• Strong communicator who can work fluidly across business and engineering functions.
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
• Based in or able to work effectively within Eastern Time (EST).

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $105,000 -$120,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here’s what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

• Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations.
• Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.
• Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

• Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.
• Translate ambiguous business needs into clear technical requirements and executable solutions.
• Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

• Create and maintain clear technical documentation for all tools, workflows, and integrations you build.
• Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
• Understanding of prompt engineering best practices.
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
• Strong communicator who can work fluidly across business and engineering functions.
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
• Based in or able to work effectively within Eastern Time (EST).

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $105,000 -$120,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here’s what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit, www.DeepIntent.com.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

• Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations.
• Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.
• Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

• Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.
• Translate ambiguous business needs into clear technical requirements and executable solutions.
• Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

• Create and maintain clear technical documentation for all tools, workflows, and integrations you build.
• Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
• Understanding of prompt engineering best practices.
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
• Strong communicator who can work fluidly across business and engineering functions.
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
• Based in or able to work effectively within Eastern Time (EST).

DeepIntent is proud to offer a competitive compensation package inclusive of a base salary range of $105,000 -$120,000. The base salary range takes into consideration each candidates skills, experience and qualifications. In addition, we offer an annualized bonus plan and competitive benefits as well as many other company offerings.

We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.

Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, Unlimited PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!

Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!

Here’s what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!

DeepIntent is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. DeepIntent is an Equal Opportunity Employer, providing equal employment and advancement opportunities to all individuals. We recruit, hire and promote into all job levels the most qualified applicants without regard to race, color, creed, national origin, religion, sex (including pregnancy, childbirth and related medical conditions), parental status, age, disability, genetic information, citizenship status, veteran status, gender identity or expression, transgender status, sexual orientation, marital, family or partnership status, political affiliation or activities, military service, immigration status, or any other status protected under applicable federal, state and local laws. If you have a disability or special need that requires accommodation, please let us know in advance. DeepIntent’s commitment to providing equal employment opportunities extends to all aspects of employment, including job assignment, compensation, discipline and access to benefits and training.

CCPA Notice: If you are a California resident applying for a role at DeepIntent, we may collect personal information as part of the application process in accordance with the California Consumer Privacy Act (CCPA). To learn more about the categories of information we collect and your rights, please contact PeopleOps@deepintent.com to see our full Applicant Privacy Notice.

Company

A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows.

Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior.

Role

As an Applied AI Engineer, you will turn model capabilities into real product behavior. You will own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.

This role sits at the intersection of machine learning, systems, and product, focusing on making AI actually work for users, not just in demos, but in real-world usage.

 

Focus

• Build and ship AI features end-to-end (model → system → user experience)

• Design and iterate on prompts, tools, memory, and agent workflows

• Turn raw model outputs into structured, reliable, and predictable behaviors

• Debug issues across the full stack (model, orchestration, infra, UX)

• Optimize for latency, cost, and production reliability

• Develop lightweight evaluation frameworks to measure real-world performance

• Work closely with product and engineering to translate ambiguous problems into working systems

 

Tech Stack

• Python

• PyTorch / JAX

• LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)

• Inference / serving (e.g. vLLM)

• Vector DB

 

Ideal Experience

• Strong foundation in machine learning and modern neural network architectures.

• Hands-on experience with training, fine-tuning, or deploying ML models

• Ability to write clean, production-quality code

• Comfort working across abstraction layers (model → infra → product)

• Strong problem-solving skills in ambiguous, fast-moving environments

• Bias toward shipping, iteration, and continuous improvement

 

Outcomes

• ML models in production meet expected accuracy, latency, and reliability targets.

• Production issues are identified quickly, debugged effectively, and root causes addressed.

• Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.

• Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.

• Iterations on models and systems are driven by real-world signals and measurable improvements.

 

How We Work

The best products today in the world were built by small, world class teams. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical AI product.

 

Interview process

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Role OverviewWe are looking for an AI & Innovation Analyst to build software automations to help teams at BibliU reduce their manual work & improve their productivity.