Monterail
LLM Engineer - Freelancer
RemoteRemote eligibility not specifiedAI/ML
Our Take
Integrate practical LLM features into production systems using Python/Node.js/Ruby.
What you’ll do
- Add AI functionality to Python, Node.js, and Ruby codebases
- Build LLM-powered features like chat, summaries, and search
- Design lightweight RAG pipelines using embeddings and vector search
- Implement safe, reliable LLM endpoints (OpenAI, Anthropic, Azure)
- Advise clients on AI trade-offs regarding latency and cost
What they’re looking for
- Strong software engineering background
- Hands-on experience with LLM API integration
- Experience building RAG pipelines and embeddings
- Understanding of cost, latency, and reliability constraints
- Familiarity with big data or data pipelines is a plus
Skills & Focus Areas
- Python
- Node.js
- Ruby
- LLM APIs
- RAG pipelines
- embeddings
- vector search
- pgvector
- Pinecone
- Qdrant
- OpenAI
- Anthropic
As posted by Monterail
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