
Senior AI Engineer
EPAM Systems
Katowice, SL, Poland • 38m ago • Remote
Senior
Remote
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Quick Facts
Role: Senior AI Engineer
Description
Build evaluation-driven, secure, and scalable agentic AI systems. Architect multi-agent workflows, engineer robust tool interfaces, and implement Retrieval-Augmented Generation (RAG) grounded in proprietary data. Create structured outputs for rich UI rendering and establish evaluation pipelines and metrics to ensure agent performance, reliability, and accuracy in production.
Responsibilities
Architect, build, and orchestrate complex multi-agent workflows using LangGraph and LangChain
Develop and maintain reliable tool definitions for interacting with internal APIs
Build and optimize RAG systems to ground model responses in proprietary data
Ensure AI responses are structured for rich UI rendering (dynamic graphs, charts, interactive elements)
Create testing frameworks, evaluation pipelines, and production metrics
Move validated prototypes to production readiness, including guardrails, security, cost, and scale
Debug and optimize multi-agent workflows with asynchronous execution, state management, and concurrency
Deploy and maintain production-grade AI applications with a DevOps mindset
Requirements
3+ years of relevant experience in AI Engineering or a related field
Proficiency in Python and the modern AI engineering stack
Expertise in LangChain, LangGraph, and the OpenAI SDK
Familiarity with Hugging Face Transformers and multi-agent workflow optimization
Skills in asynchronous execution, state management, and concurrency
Background designing and integrating with complex REST and GraphQL endpoints
Competency handling structured data formats (JSON, XML) for tool calling
Hands-on experience with Docker
Knowledge of cloud platforms (AWS, GCP, or Azure)
Understanding of vector databases (Pinecone, Weaviate, Chroma) and embedding strategies for RAG
English proficiency at Upper-Intermediate (B2) or higher
Benefits
Hybrid by design mode with opportunity to work remotely within Poland
Chance to work abroad up to 60 days annually
Career development programs and mentoring
Certification opportunities (Anthropic, Gemini, GCP, Azure, AWS)
English classes
Stable pay and Employee Stock Purchase Plan (15% discount)
Health insurance, Multisport, shopping vouchers, referral bonuses
Corporate, social, and well-being events
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