Monterail
via Workable
LLM Engineer - Freelancer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 14h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 49d ago
The date the source published, not the day we noticed it (2026-07-28). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Poland
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay PLN 319k–368k/yr
Middle 50% of 25 listings that do state pay — Engineering · all levels · Poland · PLN/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 2h ago
The listing
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.
Requirements
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