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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem for defining, orchestrating, deploying and observing AI agents. Key technologies and tools include Python, LLMs and generative AI, agentic frameworks such as LangChain, LangGraph, cloud (AWS/GCP/Azure), containerization and CI/CD, vector databases and fine-tuning/LoRA. Responsibilities cover designing scalable conversational systems, microservices and async architectures, implementing orchestration logic in Python, creating Agentic Evaluation and LLM-as-a-Judge frameworks and CI/CD quality gates, model optimization, data pipeline design and cloud migration strategies.
from: 8 October 2026
to: 7 November 2026
salary not specifiedB2B contract (full-time)
salary not specifiedcontract of employment
Offer parameters
level:senior
working mode:remote
Kraków, Grzegórzki
Requirements
Expected technologies
Python
AWS
Google Cloud Platform
Microsoft Azure
LangChain
LangGraph
Optional technologies
TensorFlow
PyTorch
Scikit-learn
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
- Expertise in Agentic Evaluation: Hands-on experience designing evaluation frameworks for complex, multi-agent systems and evaluating reasoning traces, tool selection, and agentic workflows
- LLMOps & CI/CD Gate Design: Proven experience in building automated testing and evaluation gates within CI/CD pipelines for AI models
- Strong backend and frontend architecture experience
- 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
- Agentic Evaluation & Quality Gates: Design evaluation frameworks for autonomous agents tracking multi-step workflows, tool-calling accuracy, and session performance, integrating automated gates into CI/CD pipelines
- LLM-as-a-Judge & Testing Pipelines: Establish automated evaluation protocols utilizing LLM-as-a-judge patterns
- Optimize AI models through fine-tuning and LoRA integration, making data-driven decisions between different approaches (FT vs RAG)
- 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
We are looking for a hands-on AI Platform Engineer to design, build, and maintain the Enterprise Agent Development Platform, a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The role includes standardizing agent development across the organization, implementing advanced agentic evaluation frameworks (using AWS AgentCore), and building robust LLM-as-a-judge and CI/CD deployment gates to reduce development from months to days while enforcing strict security and quality standards. Strong Python skills and deep expertise in LLM evaluation are required, along with experience in cloud infrastructure.
This is how we work on a project
- Continuous Deployment
- Continuous Integration
- DevOps
What we offer
We gather like-minded people:
We provide growth opportunities:
We cover it all:
Please, note:
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.
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Senior AI Platform Engineer
I apply to:
EPAM Systems (Poland) sp. z o.o.
Kraków, Grzegórzki
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