Freelance LLM Engineer for Production AI Features

Monterail; Województwo pomorskie; On-site; PLN 124,000 - 248,000; Full time

Job summary

Monterail is seeking LLM Engineers on a freelance basis to design, build, and integrate AI features into existing products. The role is delivery-focused and can be part-time or full-time depending on projects.

You’ll work with Python, Node.js, or Ruby codebases, integrating LLM APIs and crafting pragmatic AI solutions within client architectures. Remote collaboration with clients is common.

Qualifications

• Strong software engineering background with 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.

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.

Skills

Python

Node.js

Ruby

LLM API integration

RAG pipelines

Vector search

Big data

Tools

pgvector

Pinecone

Qdrant

Job description

Monterail is seeking LLM Engineers on a freelance basis to design, build, and integrate AI features into existing products. The role is delivery-focused and can be part-time or full-time depending on projects.

You’ll work with Python, Node.js, or Ruby codebases, integrating LLM APIs and crafting pragmatic AI solutions within client architectures. Remote collaboration with clients is common.