Job Description

We're building a network of AI 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 - you don't need to be a data scientist. What matters most is your engineering foundation and your ability to use AI to solve real business problems.

Requirements

What We’re Looking For

• Strong software engineering background (Node.js or Ruby preferred)
• Experience integrating LLM APIs into production systems
• Ability to design pragmatic AI solutions within existing architectures
• Understanding of cost, latency and reliability constraints of AI systems
• Ability to explain AI limitations to clients and guide realistic expectations
• Solid communication skills and a consultative mindset
• English B2/C1
• Availability part-time or full-time (B2B contract)
• Familiarity with modern AI tooling: LangChain, LlamaIndex, or Vercel AI SDK

What you'll do

• Adding AI functionality into existing Node.js / Ruby / Python / React / React Native codebases
• Building LLM-powered features: chat, summaries, classification, smart search, document Q&A
• Designing lightweight RAG pipelines using embeddings and vector search
• Working with vector DBs (pgvector, Pinecone, Qdrant)
• Implementing safe, reliable LLM endpoints (OpenAI, Anthropic, Azure)
• Working with PMs and clients to shape realistic AI features and transform workflows to reduce manual effort
• Advising clients when NOT to use AI and considering trade-offs related to latency, accuracy, cost and maintainability

What do we mean by freelance?

• Read more at Monterail Tech Network