Careers at LeapForce
Join us and help build the home of
the AI Workforce
Join us on our mission to help every business eliminate repetitive tasks, streamline operations, and unlock human potential.
Apply NowHow we hire
We don’t hire for roles.
We hire for the mission.
LeapForce hires people who believe in the mission and own outcomes end-to-end. We build small pods — one accountable lead per engagement, no junior bench — so the people we hire build themselves, and teach others to do it well.
We hold a high bar and hire slowly because every person we add moves the mission forward. Expect a real take-home, real references, and a real conversation with the founder.
01
Production over demo
Systems at scale, with unit tests, visuals, and rollback strategies from day one.
02
Taste in tradeoffs
Knowing when to use a frontier model, a small model, classic ML, or no AI at all.
03
One accountable lead
You sign your name to the work. You’re the one phone call when something breaks.
04
Written + spoken clarity
You can write a one-page memo a CTO will read and can run a working meeting.
Opening Roles
9 open roles
- Apply Now
Lead AI Product Manager
ProductDefine product vision and roadmap for AI-powered features, aligning cross-functional teams to deliver measurable outcomes.
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Senior AI Engineer, LLM Systems
EngineeringDesign, train, and deploy large language models at scale with focus on reliability, latency, and safety.
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Software Architect, Enterprise Systems
EngineeringDesign scalable architecture for enterprise-grade AI platforms, balancing performance with maintainability.
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Senior Full-Stack Engineer
EngineeringBuild end-to-end features across the stack, from React interfaces to Python APIs and cloud infrastructure.
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Machine Learning & Safety Engineer
AI SafetyDevelop evaluation frameworks and safety guardrails to ensure responsible AI deployment at scale.
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AI Evaluation & Safety Engineer
AIBuild robust testing and red-teaming pipelines to measure model behavior and mitigate potential harms.
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Solution Architect — Enterprise AI
SolutionsPartner with enterprise clients to design and implement tailored AI solutions that drive business transformation.
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Delivery Lead
OperationsCoordinate cross-functional delivery of AI products, managing timelines, dependencies, and stakeholder communication.
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Senior Data Engineer
DataBuild and maintain data pipelines that power model training, evaluation, and real-time inference at scale.
Application
One email to [email protected] with a résumé and a short note on why this lab. No portals, no forms, no ATS.
Our Hiring Process
We’ve designed a direct, respectful process to understand your craft and how we’ll work together. No games, just real engineering challenges.
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Initial Screening
A quick call to understand your background, interests, and what you’re looking for in your next role. We’ll also share more about what we’re building and answer any questions you have.
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Conversation with the founder
30 minutes with Kelvin — your work, our work, and whether the lab is the right shape for what you want next.
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Paid take-home
A real, scoped exercise from a real engagement, paid at a market day rate. We review the work, not your test-taking.
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Working session
A two-hour pairing session with the pod you’d join — design review, code review, or an open client problem.
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References & offer
We call three references you choose and two we find. If it aligns, a written offer within 48 hours.