Senior AI Engineer

Our requirements

• Strong background in Python, mainly for hooking up AI models, automating stuff, and handling orchestration logic
• 1–2 years of hands-on experience with Generative AI and large language models (LLMs)
• Practical experience in machine learning engineering: data preparation, working with vector databases in the cloud, and training/optimizing models
• Strong backend and frontend architecture experience
• Deep understanding of ML evaluation, tuning, and prompt engineering
• Experience working with cloud platforms such as AWS, GCP, or Azure, including container orchestration and CI/CD pipelines
• Experience with agentic frameworks (LangChain, LangGraph) and multi-agent system design

Optional

• Comfort with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn is a plus

Your responsibilities

• Develop and launch scalable conversational AI systems that operate across multiple channels, including chat, voice, email, and APIs
• Architect microservices and asynchronous systems for AI applications, ensuring high availability and performance
• Use Python to implement orchestration and decision logic — the control layer that manages tools, workflows, and system interactions
• Optimize AI models through fine-tuning and LoRA integration, making data-driven decisions between different approaches (FT vs RAG)
• Establish prompt engineering libraries and define evaluation protocols for prompt performance
• Design monitoring and evaluation frameworks, including dashboards, metrics, and human-in-the-loop feedback loops to maintain model quality and trust
• Work with data specialists to design pipelines for collecting, cleaning, and structuring information for AI agents
• Design CI/CD pipelines, container standards, and cloud strategies for infrastructure migrations, cost optimization, and high availability

About the project

This is how we work on a project

• Continuous Deployment
• Continuous Integration
• DevOps

What we offer

Development opportunities we offer

• conferences in Poland
• development budget
• external training
• industry-specific e-learning platforms
• intracompany training
• mentoring
• soft skills training
• space for experimenting
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company

Benefits

• private medical care
• life insurance
• flexible working time
• fruits
• integration events
• retirement pension plan
• no dress code
• video games at work
• coffee / tea
• parking space for employees
• leisure zone
• employee referral program
• charity initiatives

Recruitment stages

• 1.
  Recruiter Interview (30 min)
• 2.
  Technical Interview (90 min)
• 3.
  Manager Interview (60 min)
• 4.
  Meeting with the Project Team or Client (60 min, optional)
• 5.
  Welcome Aboard!

EPAM Systems (Poland) sp. z o.o.