LLM Engineer - Freelancer
⚲ Gdańsk, Kraków, Poznań, Warszawa, Wrocław, Stare Miasto
90–140 zł netto (+ VAT) / godz.
Wymagania
- Python
- Node.js
- Ruby
- OpenAI
- Anthropic
Opis stanowiska
Nasze wymagania:
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
English B2/C1
Availability part-time or full-time (B2B contract)
Mile widziane:
Background in big data or data pipelines is a big plus
O projekcie:
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.
Zakres obowiązków:
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
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
English B2/C1
Availability part-time or full-time (B2B contract)
Mile widziane:
Background in big data or data pipelines is a big plus
O projekcie:
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.
Zakres obowiązków:
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
🔍 Dekoder Ogłoszenia
🔴
Ability to design pragmatic AI solutions within existing architectures
Oczekuje się, że będziesz integrować gotowe rozwiązania AI z istniejącym kodem, a nie tworzyć od podstaw nowe, skomplikowane modele.
🔴
Ability to work independently with clients and set realistic expectations
Będziesz musiał samodzielnie zarządzać komunikacją z klientem i negocjować zakres prac, co może oznaczać presję ze strony klienta.
🟡
This role is focused on delivery, not ML research.
Nie będziesz zajmować się badaniami nad nowymi algorytmami, a jedynie implementacją istniejących technologii LLM.
🔴
Work directly with clients to shape AI features and reduce manual effort
Oczekuje się, że będziesz aktywnie uczestniczyć w definiowaniu funkcjonalności AI i przekonywać klientów do proponowanych rozwiązań.
🔴
Availability part-time or full-time (B2B contract)
Praca na umowie B2B oznacza brak świadczeń pracowniczych i samodzielne rozliczanie podatków oraz składek.