LLM Engineer - Freelancer

Visa Hunt; Poland; On-site; USD 100,000 - 160,000; Full time

Job summary

PVH is seeking an LLM Engineer to design, build, and integrate practical AI features into existing products on a freelance basis. The role emphasizes delivery over research, with focus on Python, Node.js, or Ruby codebases and production-ready LLM integrations.

Ideal candidates will have hands-on experience with LLM APIs, RAG pipelines, embeddings, and vector search. Availability for part-time or full-time B2B contracting is required, with strong independence and client-facing skills.

Qualifications

• Strong software engineering background with Python, Node.js, or Ruby.
• Hands-on experience integrating LLM APIs into production systems (OpenAI, Anthropic, or similar).
• Design pragmatic AI solutions within existing architectures.
• Experience building RAG pipelines, embeddings, and vector search.
• Understanding cost, latency, and reliability constraints of AI systems.
• Ability to work independently with clients and set realistic expectations.

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).
• Advise clients when not to use AI and navigate latency, accuracy, and cost trade-offs.

Skills

Python

Node.js

Ruby

LLM integration

RAG pipelines

Tools

OpenAI API

Anthropic API

Azure OpenAI

pgvector

Pinecone

Qdrant

Job description

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. 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 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