AI Engineering Jobs in Poland
There are 357 open AI Engineering jobs in Poland on freehire right now. 157 of them were posted recently. The skills employers ask for most often are ai, python and llm.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| PLN | month | PLN 15,000 | PLN 22,000 | PLN 27,000 | 17 |
| PLN | hour | PLN 160 | PLN 160 | PLN 170 | 13 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 95%
- python 72%
- llm 71%
- cloud 56%
- api 54%
- agentic-ai 50%
- generative-ai 49%
- azure 47%
How the work is done
- Hybrid 113 · 32%
- Remote 106 · 30%
- Onsite 13 · 4%
Visa sponsorship offered in 38% of the 13 postings that state a position on it.
Seniority
- Senior 132
- Lead 17
- Middle 14
- Principal 5
- Staff 4
- Intern 2
Who is hiring
- 1000+ employees 45
- 51-200 employees 5
- 201-500 employees 3
- 501-1000 employees 3
- 11-50 employees 2
AI Agent Engineer
Designs, builds and deploys Agentic AI solutions for UNIQA — creating AI agents and RAG architectures that support software development and maintenance processes, and integrating LLM models with applications, APIs and DevOps pipelines. Core stack: Java, LangChain4j, Langfuse, MCP protocol.
Python Developer (AI / LLM)
Python developer building AI/LLM-powered backend services for one of the world's largest banks, placed via staffing firm Verita HR. Day-to-day work centers on FastAPI/LangChain services, RAG pipelines and prompt engineering with PostgreSQL and vector databases, in a hybrid Kraków setup (6 office days/month) on a B2B contract.
AI Engineer
AI Engineer at Opera in Wrocław (hybrid) working on the AI Engine Composer, building new AI features, and conducting research in modern AI. Day-to-day centers on Python, machine learning, LLMs, and neural networks, with an emphasis on analytical and research-driven problem solving.
GenAI Data Integration Engineer — Hybrid Kraków, GCP/RAG
Designs, builds, and maintains scalable data integration pipelines and Python/FastAPI microservices for Generative AI platforms, connecting enterprise stores (Hadoop, Starburst, PostgreSQL, MongoDB) with GCP/BigQuery and deploying RAG solutions using vector stores like PGVector, in a hybrid role in Kraków.
Azure Data & AI Engineer: Build Intelligent Solutions
Designs and builds end-to-end AI-enabled applications on Microsoft Azure — working with Azure OpenAI, Azure AI Foundry, and data pipelines — while writing Python and collaborating with data engineers to ensure clean data feeds for AI workflows.
Data Integration Engineer GenAI
Designs and maintains data integration pipelines and Python/FastAPI microservices for Generative AI platforms at a global banking client — connecting Hadoop, Starburst, PostgreSQL and MongoDB with GCP/BigQuery and building low-latency RAG services using vector stores like PGVector. Hybrid role in Kraków (2-3 days/week onsite), B2B contract via Randstad.
Data & AI Engineer
Designs and delivers AI solutions on Azure (Azure OpenAI, AI Foundry, Cognitive Services) for cross-industry client projects, wiring AI into enterprise data platforms and pipelines, and stepping into data engineering (ETL) work when projects require. Core stack: Python, Azure AI services, PyTorch/TensorFlow, Databricks/ADF/MS Fabric.
Senior AI/GenAI Backend Engineer (Python & Java)
Design and build production-grade AI/GenAI backend solutions in Kraków: LLM features, RAG pipelines, and agentic workflows in Python, securely integrated with Java-based enterprise systems. Involves architecture, secure coding, CI/CD, and collaboration with QA, platform, and ops teams.
ML / AI Engineer
Build and evolve shared, production-grade AI capabilities — LLM experiences, RAG pipelines, agents, and evaluation loops — adopted across multiple construction software products. Day to day: Python engineering on Azure/AWS, prototyping, defining AI evals/guardrails, and mentoring other engineers.
Gen AI Developer
A Gen AI Developer at Capgemini Invent in Warsaw (hybrid) designs, builds, and deploys generative AI applications — fine-tuning LLMs, implementing RAG and multimodal features, and scaling solutions on cloud platforms using Python and frameworks like LangChain and Hugging Face.
[CMI] Senior AI Engineer
Project – the aim you’ll have We are looking for a talented Senior AI Engineer to join our team and work on innovative projects for our clients. Our mission is to help organizations unlock the full potential of…
[CMI] AI engineer
Project – the aim you’ll have We are looking for a talented AI Engineer to join our team and work on innovative projects for our clients. Our mission is to help organizations unlock the full potential of artificial…
Senior AI Engineer (Data)
In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are looking for an experienced AI…
AI Engineer
Ecolab is a global leader in water, hygiene, and energy technologies, dedicated to delivering innovative solutions that make a positive impact worldwide. With operations spanning across 170 countries, Ecolab is…
AI Engineer
Job Description: DXC Technology (NYSE: DXC) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the…
Sr AI Engineer
Ecolab is a global leader in water, hygiene, and energy technologies, dedicated to delivering innovative solutions that make a positive impact worldwide. With operations spanning across 170 countries, Ecolab is…
Senior AI Engineer
Fully remote senior AI engineer at a boutique Polish software house, working on a project for an international fintech client building AI/LLM-powered operational infrastructure for private markets. Day to day is AI agent and RAG development in TypeScript (Node.js) — not standard application coding.
R&D Analytics - AI Developer
Joins Syngenta's Analytics & Data Sciences team (any site in Mexico, hybrid) to build data pipelines and AI-powered analytical software for agricultural R&D data. Day to day: designing ML pipelines, building cloud-native apps on AWS, and applying LLM/agentic-AI tools, using Python, Snowflake/Databricks.