LLM Engineer Freelancer

Building a network of LLM Engineers to design, build, and integrate AI features into products. The role is freelance, part-time or full-time, focusing on delivery and engineering rather than research.

Location: Remote

Responsibilities

• 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

Requirements

• 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)