LLM Engineer - Freelancer

O tym stanowisku

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

Originally posted on Himalayas