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 for
Strong software engineering background - Python, Node.js, or Ruby
Hands-on experience integrating LLM APIs into production systems (OpenAI, Anthropic, or similar)
Ability to design pragmatic AI solutions within existing architectures
Experience building RAG pipelines, embeddings, and vector search
Understanding of cost, latency, and reliability constraints of AI systems
Ability to work independently with clients and set realistic expectations
Background in big data or data pipelines is a big plus
English B2/C1
Availability part-time or full-time (B2B contract) What you'll do
Add AI functionality into existing Python, Node.js, and Ruby codebases
Build LLM-powered features: chat, summaries, classification, smart search, document Q&A
Design lightweight RAG pipelines using embeddings and vector search
Work 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 effort
Advise 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
