Job Description, Responsibilities & Requirements
About the Position
We are seeking a Lead AI Engineer to build a central GenAI Platform, empowering hundreds of product teams across the organization with scalable capabilities for rapid development, validation, and deployment of AI agents.
This position is based in Hungary, with relocation support available from EPAM.
Responsibilities
- Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment
- Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry)
- Apply secure SDLC and privacy-by-design practices (threat modeling, least privilege)
- Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes
- Apply current LLM patterns (e.g., RAG, retrieval, routing, tool-use, evaluation) to deliver measurable customer value-faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query
- Lead by example through writing high-quality, maintainable code
Requirements
- 5+ years of professional software engineering experience with Python, TypeScript, and AWS/Azure/GCP
- 1+ years of leadership experience
- Strong full-stack development skills in backend (Python, FastAPI, TypeScript) and frontend (TypeScript, Streamlit, Gradio)
- Proficiency in cloud platforms, CI/CD, and Infrastructure as Code
- Expertise in at least one of: AI Agent development and evaluation (LLM platforms, APIs, and frameworks such as LangChain), advanced AI integration patterns (e.g., RAG, Agents), or Site Reliability Engineering, quality engineering, and secure SDLC
- Proven track record delivering secure, scalable, cloud-native, and AI-driven systems
- Background in deploying and evaluating AI solutions at scale
- Familiarity with vector databases (e.g., Qdrant, FAISS, Chroma)
- Capability to assess generative AI quality using retrieval, classification, and LLM-based evaluation metrics
- Strong problem-solving, ownership, and cross-functional communication skills
- English proficiency at B2 level or higher
Nice to Have
- Background in A/B testing, experiment design, and model iteration
- Knowledge of retrieval systems and ranking algorithms
- Familiarity with emerging AI protocols (MCP, A2A, ACP)
- Expertise in cloud/on-prem AI platforms and enterprise AI solutions
- Skills in observability and monitoring tools
Technologies
- Python, TypeScript, PyTorch, Hugging Face, LangChain
- Vector databases (Qdrant, FAISS, Chroma)
- LLM APIs (Azure OpenAI, AWS Bedrock)
We Offer
- 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 the Company
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.