About this role
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 ForStrong software engineering background (Node.js or Ruby preferred)Experience integrating LLM APIs into production systemsAbility to design pragmatic AI solutions within existing architecturesUnderstanding of cost, latency and reliability constraints of AI systemsAbility to explain AI limitations to clients and guide realistic expectationsSolid communication skills and a consultative mindsetEnglish B2/C1Availability part-time or full-time (B2B contract)Familiarity with modern AI tooling: LangChain, LlamaIndex, or Vercel AI SDK
What you'll doAdding AI functionality into existing Node.js / Ruby / Python / React / React Native codebasesBuilding LLM-powered features: chat, summaries, classification, smart search, document Q&ADesigning lightweight RAG pipelines using embeddings and vector searchWorking 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 effortAdvising 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