# AI Engineer - Freelancer

**Company:** [Monterail](http://jobs.workable.com/companies/tXjETdZQ8t8G7ZQF9hd8WH.md)
**Location:** Remote
**Workplace:** remote

[Apply for this job](http://jobs.workable.com/view/7e0ffc05-4d67-45ef-9453-36ce11ca3515)

## 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**](https://www.monterail.com/more/monterail-tech-network)