Katapult Labs
Technology
Senior–StaffAIPlatformEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior–Staff AI Platform Engineer at Katapult Labs. Skills: AI Platform Engineering, LLM Operations, Production Software. Design ML platform services. Build ML platform services”
Industry & Context.
Debugging
US hours, BYOD
What They're Looking For.
Must Have
Software engineering background, Built and run scalable, cloud-native SaaS in production, Hands-on experience running LLMs / AI systems in production, AI-native workflow fluency, Solid Python, Comfort across the stack, Experience with data pipelines, Experience with ML/AI infrastructure on GCP or AWS, Written and spoken comfortable operating on US hours, Embedded in a client team
Nice to Have
GCP experience, Eval frameworks experience, Experimentation tooling experience, Cost-tracking tooling experience, Consultancy / multi-hat background, Fintech domain exposure, Legal-tech domain exposure, Document-heavy domain exposure, Model training / fine-tuning
What You'll Do.
Design ML platform services
Build ML platform services
Maintain ML platform services
Design AI platform services
Build AI platform services
Maintain AI platform services
Design data-platform services
Build data-platform services
Maintain data-platform services
Operate LLM applications in production
Build structured evaluation pipelines
Run structured evaluation pipelines
Own AI/ML observability
Instrument AI/ML observability
Trace AI/ML observability
Debug model behavior in prod
Integrate LLM-agnostic model backends
Serve LLM-agnostic model backends
Support deterministic ML
Contribute to data lineage
Contribute to data governance
Contribute to compliance
Partner closely with product
Move fast without breaking quality
How You'll Work.
Team & Collaboration
Client teams; Cross-functional teams
Communication Scope
Written; Spoken
Full Job Description
ABOUT KATAPULT LABS Katapult Labs is a nearshore, AI-first software development partner built around top LATAM engineering talent. We don't do "staff-aug, send a résumé." We embed senior builders directly inside our clients' teams in their meetings, on their comms and back them with the wider Katapult engineering org for the hard problems. We work as one team with our clients: US-holiday aligned, no "us vs. them," and every placement comes with a no-cost replacement guarantee. AI is a first-class tool in how we build, not an afterthought. THE ROLE We're hiring a Senior–Staff AI Platform Engineer to be the first dedicated engineering hire embedded inside one of our clients a US-based, early-stage AI startup building AI for deal and contract workflows (starting in real estate and expanding toward a broader contracts/HR platform). The product is AI-heavy: a chat-first interface layered over document review, deal timelines, and next-step recommendations, powered by a mix of LLMs and classic/deterministic ML. This is not a research or pure model-training seat. We're looking for a builder with high agency who ships production software and operates LLM/ML systems in the real world. You'll build day-to-day with AI coding tooling (Claude Code, Codex CLI) that's how the team works and you'll own the reliability, observability, and quality of AI features in production. KEY RESPONSIBILITIES - Design, build, and maintain scalable ML, AI, and data-platform services that power production features end-to-end. - Operate LLM applications in production: chat with memory, retrieval, prompt management, versioning, and experimentation. - Build and run structured evaluation pipelines (golden datasets, regression checks) so changes ship with confidence. - Own AI/ML observability and monitoring instrument, trace, and debug model behavior in prod with tools like Langfuse or MLflow (knowing one is enough). - Integrate and serve LLM-agnostic model backends (e.g., Anthropic models via Bedrock a
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