AI Engineering Jobs in Poland
There are 382 open AI Engineering jobs in Poland on freehire right now. 43 of them were posted recently. The skills employers ask for most often are ai, llm and python.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| PLN | month | PLN 17,750 | PLN 20,870 | PLN 22,394 | 14 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 93%
- llm 70%
- python 67%
- cloud 55%
- api 48%
- generative-ai 48%
- agentic-ai 47%
- azure 46%
How the work is done
- Remote 138 · 36%
- Hybrid 102 · 27%
- Onsite 9 · 2%
Visa sponsorship offered in 40% of the 43 postings that state a position on it.
Seniority
- Senior 115
- Lead 38
- Junior 10
- Middle 9
- Staff 9
- Principal 5
Who is hiring
- 1000+ employees 59
- 501-1000 employees 40
- 51-200 employees 28
- 11-50 employees 11
- 201-500 employees 4
- 1-10 employees 1
LLM Application Engineer
Build and ship LLM-powered AI agent workflows that reliably execute multi-step tasks, integrate tools, and turn probabilistic model outputs into predictable user experiences.
AI Engineer – Teamcenter / Python / SQL
Build and optimize AI solutions that query Siemens Teamcenter and Oracle databases using Python and SQL to digitize manufacturing and engineering processes.
Software Developer – API & AI/LLM
Build and maintain RESTful APIs and backend services for ReliaSoft Desktop and Cloud, enabling enterprise integrations and future AI/LLM features.
GenAI Applications Developer — Python & Cloud
Build internal AI applications using Python and cloud (AWS/Azure) to automate workflows and support decision-making in a regulated environment.
AI Engineer
Build and deploy scalable AI/ML solutions for clients using Python, cloud platforms, and MLOps tools like Kubeflow and MLflow.
[CMI] AI engineer
Build and deploy LLM-powered AI systems, RAG pipelines, and agent workflows using Python and cloud platforms for enterprise clients.
AI Engineer with Python
Build and maintain AI applications in Python using LLM frameworks like LangChain and Google ADK, integrating models from providers such as OpenAI and Anthropic.
MLOps / Gen AI Engineer
Build and maintain MLOps and GenAI pipelines on AWS SageMaker and Bedrock, provisioning cloud infrastructure with Terraform and ensuring production-grade monitoring and observability for AI models and agents.
GenAI Test Automation Engineer
Build and maintain automated test frameworks for GenAI products using Python and Playwright, validating AI outputs, APIs, databases, and ETL pipelines in regulated environments.
T Hub - AI Engineer (LLMs, Agents)
Build and deploy agentic AI and LLM-based solutions, optimize models for performance and cost, and integrate them into production systems using Python, GCP, and on-prem GPU clusters.
Senior AI Engineer - Growth
Build AI agent workflows for growth automation, integrating media, messaging, and analytics systems to optimize campaigns and content generation.
AI Engineer - Data & Analytics
Build and deploy LLM-based AI agents and internal tooling for a live-streaming platform, integrating with data warehouses and ensuring reliability and accuracy.
Director of Engineering, GenAI Enablement Tribe
Lead HelloFresh’s GenAI platform and embedded engineering teams to redesign commercial functions with agentic systems, evals, and AI-native processes across Berlin and Warsaw.
Applied AI Engineer
Build and ship AI features end-to-end: design agent workflows, fine-tune models, and turn outputs into reliable production systems using Python, PyTorch/JAX, and modern LLMs.
Lead AI engineer
Lead the architecture and delivery of an enterprise-grade agentic AI platform for a global fintech client, designing secure, multi-cloud deployments and guiding a senior engineering team.
AI Engineer / Senior AI Engineer [TALENT POOL DO ZBIERANIA CV]
Build and deploy AI-powered solutions for clients using modern AI stacks like Claude Code, focusing on rapid digital transformation.
1122 | Python/AI Agent Engineer
Build Python-based AI agents to automate business processes like Excel data extraction and normalization, combining deterministic logic with LLMs for enterprise workflows.