About this role
We're building a network of LLM Engineers who can design, build, and integrate practical AI features into existing products. We're looking for people to collaborate with on a freelance basis - part-time or full-time, depending on project needs.
This role is focused on delivery, not ML research. What matters most is your engineering foundation and your ability to integrate AI into real production systems using Python, Node.js, or Ruby codebases.
Requirements
What we’re looking forStrong software engineering background - Python, Node.js, or RubyHands-on experience integrating LLM APIs into production systems (OpenAI, Anthropic, or similar)Ability to design pragmatic AI solutions within existing architecturesExperience building RAG pipelines, embeddings, and vector searchUnderstanding of cost, latency, and reliability constraints of AI systemsAbility to work independently with clients and set realistic expectationsBackground in big data or data pipelines is a big plusEnglish B2/C1Availability part-time or full-time (B2B contract)
What you'll doAdd AI functionality into existing Python, Node.js, and Ruby codebasesBuild LLM-powered features: chat, summaries, classification, smart search, document Q&ADesign lightweight RAG pipelines using embeddings and vector searchWork with vector DBs (pgvector, Pinecone, Qdrant)Implement safe, reliable LLM endpoints (OpenAI, Anthropic, Azure)Work directly with clients to shape AI features and reduce manual effortAdvise clients when NOT to use AI and navigate trade-offs around latency, accuracy, and cost
What do we mean by freelance? Read more at Monterail Tech Network