Job Description, Responsibilities & Requirements
About the Position
We are seeking a Senior AI Engineer to build a central GenAI Platform, enabling rapid development, validation, and deployment of AI agents for hundreds of product teams across the organization.
In this role, you will design and deliver full-stack systems, shape platform capabilities, and help accelerate the impact of AI agents across multiple domains.
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, and cost and quality telemetry)
- Apply secure SDLC and privacy-by-design practices (e.g., 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, and evaluation) to deliver measurable customer value: faster and more reliable AI systems, reduced time-to-decision, improved trust and safety metrics, and lower cost per query
- Lead by example by writing high-quality, maintainable code
Requirements
- 5+ years of professional software engineering experience
- Strong full-stack development skills, including hands-on experience with TypeScript and major cloud platforms (AWS, Azure, GCP)
- Expertise in at least one, and proficiency in several, of the following: AI Agent development and evaluation (including LLM platforms and frameworks such as LangChain); Backend (Python, FastAPI, TypeScript) and frontend (TypeScript, Streamlit, Gradio) development; Cloud platforms and services, CI/CD, and Infrastructure as Code; Site Reliability Engineering, quality engineering, and secure SDLC
- Proven track record of delivering secure, reliable, and scalable cloud-native systems
- Experience deploying and evaluating AI solutions at scale using advanced integration patterns (e.g., RAG, Agents) and frameworks such as LangChain
- Experience with vector databases (e.g., Qdrant, FAISS, Chroma)
- Strong problem-solving, ownership, and cross-functional communication skills
Nice to Have
- Experience designing experiments, conducting A/B tests, and iterating on models based on user feedback
- Understanding of retrieval systems (e.g., keyword search, vector search, embeddings) and ranking algorithms
- Familiarity with emerging AI protocols (e.g., MCP, A2A, ACP)
- Experience deploying to cloud AI platforms (e.g., Azure OpenAI, Amazon Bedrock, GCP Vertex AI) or on-premises solutions (e.g., vLLM)
- Experience with enterprise AI platforms (e.g., AWS AgentCore, Databricks AgentBricks, Google Agentspace, Azure AI Foundry)
- Experience with observability and monitoring tools/frameworks
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
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.
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