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
👉 Senior Applied AI Scientist
Build and deploy AI models to improve vehicle search, content generation, and SEO/GEO for an automotive-focused platform, using NLP, LLMs, and ranking systems.
Senior Backend / AI Engineer
Design and build backend systems for AI-native products, integrating LLM models, APIs, and ETL pipelines in PostgreSQL and cloud environments.
Forward Deployed AI Engineer
Build and deploy production-grade agentic AI systems for enterprise clients, embedding with their teams to design, architect, and ship multi-agent workflows, RAG pipelines, and evaluation harnesses in Python and cloud environments.
Senior Generative AI Engineer
Build and scale IQVIA’s Orion GenAI platform, designing robust architectures for transformer models, RAG, and AI agents while abstracting complexity for application teams.
Python GenAI Developer
Build and maintain production-grade GenAI agents in Python, integrating LLM tool-calling, RAG pipelines, and real-time speech/data systems for enterprise clients.
Senior Forward Deployed Engineer, GenAI, Google Cloud
Build and deploy production-grade GenAI agentic systems for Google Cloud customers, integrating AI models with enterprise infrastructure and driving measurable ROI.
Mid AI Engineer
Builds AI-powered internal tools for HR, sales and admin workflows, from discovery to production deployment, using Python, LLM APIs, RAG and Microsoft 365 automations.
AI Engineer
Designs, builds, and deploys AI solutions for a global banking client using Generative AI, Agentic AI, LLMs, and vector databases on cloud platforms.
Developer GenAI
Build and optimize Generative AI solutions using LLMs, RAG pipelines, and agent frameworks like LangChain to automate business processes and integrate with external systems.
Analityk GenAI
Analyzes business processes to design and document Generative AI solutions using Large Language Models and agents, then monitors their performance and impact.
GenAI & Cloud Solution Engineer
Build and deploy enterprise-grade generative AI solutions on Azure AI Foundry and AWS Bedrock, integrating full-stack GenAI apps, AI agents, and cloud infrastructure with Java/Python/C#.
GenAI Solution Architect
Design and architect scalable GenAI solutions using Azure AI Foundry and AWS Bedrock, focusing on AI agents and secure cloud integration for enterprise clients.
AI Developer - GenAI
Build and prototype Generative AI solutions using LLMs, RAG, and Azure OpenAI, then integrate them into business workflows with Python and Microsoft Copilot Studio.
Senior MLOps Engineer (AWS & GenAI)
Build and maintain AWS-based MLOps platforms for GenAI models, automating pipelines with SageMaker, MLflow, and CI/CD while ensuring secure, scalable deployments.
AI Engineer
Build and deploy generative AI solutions using RAG, prompt engineering, and frameworks like LangChain on Google Cloud or Azure.
Senior Software Engineer, Applied AI (Remote from Poland)
Build production-grade AI agents for corporate travel using LLMs, agent orchestration, and RAG pipelines to automate bookings and optimize travel programs for global enterprises.
AI Engineer
Build, deploy, and scale AI applications using GenAI, LLMs, RAG, and classic ML on Google Cloud and Azure, while automating data pipelines and model monitoring for enterprise clients.
Senior AI & Cloud-Native Engineering Lead – LLM and DevOps Expertise
Lead the design and delivery of production AI services, develop agentic systems, and optimize DevOps pipelines in a cloud-native environment using LLMs, Java/Spring Boot, React, and Kubernetes.