AI/ML Engineer
Level: Mid-Senior
Experience: 3-6 years
Location: Remote
Build the AI features that actually ship — retrieval pipelines, model evaluation, and the unglamorous infrastructure that makes them reliable in production.
What you'll do
Design and implement retrieval-augmented generation (RAG) pipelines for client applications
Build evaluation harnesses to measure model output quality before and after deployment
Work with LLM APIs (OpenAI, Anthropic, and others) to build production features, not demos
Set up monitoring and guardrails for AI features running in production
Collaborate with engineering teams to integrate AI features into existing platforms without a rebuild
What we're looking for
3+ years working with machine learning or LLM-based systems in production, not just research
Strong Python skills, with experience in frameworks like LangChain or similar
Experience with vector databases and retrieval pipelines
Understanding of model evaluation — you can explain how you’d measure whether an AI feature is actually working
Comfortable explaining AI system tradeoffs to non-technical stakeholders
Nice to have
Experience fine-tuning or working with domain-specific models
Background in data engineering or ML infrastructure
Published work, open-source contributions, or a portfolio of shipped AI features