Principal Forward Deployed Engineer (relocation to Hungary)
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Key skills for this role
Key Skills for This Role
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Responsibilities
- Design, build and ship end-to-end AI-native systems including agents, workflows, RAG and integration harnesses
- Write production-grade Python code for integrations, APIs, data access and deployment
- Work directly with subject matter experts and end-users through interviews, user acceptance testing and workflow observations
- Engage early in projects to shape use cases and check technical feasibility
- Build evaluation pipelines and use them to prove system utility
- Design for failure in the agent loop by implementing retries, model fallbacks, cost limits and human-in-the-loop actions
- Capture domain expertise and repeatable workflows to ensure success across engagements. Troubleshoot and resolve technical challenges in collaboration with the broader team
- Ensure adherence to engineering excellence standards including test-driven development and continuous integration practices
Requirements
- 7+ years of software engineering experience with a strong track record of building production AI and LLM applications
- Expert-level Python skills and solid software engineering fundamentals
- Hands-on experience with agentic frameworks such as LangChain, LangGraph or Semantic Kernel and major LLM providers
- Strong RAG and retrieval skills including vector databases, embeddings, hybrid search and context management
- Production deployment experience on major cloud platforms like AWS, Azure or GCP with containerization and CI/CD
- Proven experience evaluating generative AI quality using custom evaluation frameworks and observability tools
- Proven capability to work closely with clients, lead discovery conversations and explain technical trade-offs to diverse audiences
- Strong agent-design judgment and sound engineering judgment under ambiguity to balance speed, quality and scope
- C1 level English language proficiency
- An academic degree in Computer Science, Software Engineering or a related field
Nice to have
Experience designing experiments, A/B testing and iterating on AI products against real user behavior
Strong background in NLP, Data Science or applied machine learning with experience moving models into production
Familiarity with Model Context Protocol (MCP), Agent-to-Agent (A2A), Agent Skills and emerging agent standards
Experience with enterprise AI platforms such as AWS Bedrock AgentCore, Databricks Genie or Microsoft Foundry
Exposure to AI governance, security and compliance including guardrails and prompt-injection prevention
We offer/Benefits
- Dynamic, entrepreneurial corporate environment
- Diverse multicultural, multi-functional, and multilingual work environment
- Opportunities for personal and career growth in a progressive industry
- Global scope, international projects
- Widespread training and development opportunities
- Access to LinkedIn Learning solutions
- Competitive salary and various benefits
- Advanced wellbeing and CSR programs, recreation area
- Do you know someone interested in starting a career in IT? Share our EPAM Campus programs with them, where they can enhance their knowledge in various fields online, free of charge.
About EPAM Systems, Inc.
Provides global digital platform engineering and software development services.
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