Lead AI Agentic Developer

We are building a Lead AI Agentic Developer role to lead AI-powered engineering initiatives that elevate the retail experience through generative AI. You will own agentic and RAG solutions end-to-end across Python/FastAPI, React/TypeScript, and Google Cloud Vertex AI, with strong observability and cost controls. Responsibilities Design, build, deploy, and support AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI while following best practices and quality standards Own GenAI systems end to end, covering architecture choices, feature delivery, operational readiness, production support, and cost optimization Apply AI-augmented engineering workflows and collaborate effectively with AI coding assistants such as Claude Code and GitHub Copilot to speed delivery and improve code quality Collaborate with solution engineers, architects, and product teams to produce technical design specifications and confirm alignment with architectural standards, non-functional requirements, and business needs Implement LLM orchestration approaches including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured-output generation Create and maintain observability pipelines for AI platforms, including trace analysis, token-usage tracking, cost monitoring, and quality metrics Provide technical leadership and mentorship to help teammates grow in agentic development practices, prompt-engineering techniques, and AI-tool integration Evaluate cross-platform trade-offs across backend technologies, frontend technologies, and AI services to maintain architectural consistency and identify optimization opportunities Troubleshoot defects, perform root-cause analysis, and code, test, and deliver full-stack enhancements Communicate risks, blockers, and schedule impacts early to ensure on-time delivery of AI initiatives and drive resolution to protect commitments Coordinate multiple deliverables across services and platforms, handle operational requests, and resolve production issues efficiently Use observability and monitoring tools including LangFuse, Grafana, Dynatrace, and Splunk to review dashboards, investigate anomalies, monitor AI-model performance, and track cost metrics Requirements Proven background of 5+ years in software development, including hands-on generative AI and agentic development with AI coding assistants such as Claude Code, GitHub Copilot, Cursor, and Windsurf Deep expertise in generative AI application development, GenAI design patterns, and GenAI cloud platforms including Google Cloud Vertex AI, Gemini, Anthropic Claude, and OpenAI Hands-on experience with LLM observability and tracing using Langfuse, LangSmith, or similar platforms Strong skills in prompt-engineering methods such as chain-of-thought prompting, few-shot learning, and structured outputs Solid understanding of LLM orchestration, RAG architectures, multi-agent systems, tool calling, and agent evaluation Advanced proficiency in Python, FastAPI, asynchronous programming, Pydantic, and SQLAlchemy ORM Strong background with MySQL and PostgreSQL, including query optimization and Alembic migrations Practical knowledge of authentication and authorization patterns including OAuth 2.0, Okta, JWT, and role-based access control (RBAC) Proven experience with Docker, Docker Compose, Kubernetes, and container orchestration Hands-on frontend skills with React, TypeScript, Zustand state management, and Material UI (MUI) Working knowledge of data-visualization libraries including Recharts and D3.js Strong experience with Google Cloud Platform, including Vertex AI, Cloud Run, BigQuery, Cloud Storage, and IAM, plus Git, CI/CD, GitHub Actions, and ArgoCD English proficiency at B2 level (Upper-Intermediate) or higher We offer International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.