Katapult Labs

Technology

Senior–StaffAIPlatformEngineer

$7500–12000k ~AI est. Colombia FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“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.

Technology
Problems you'll solve

Debugging

Eligibility Requirements

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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