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Senior AI Agentic Developer

  • MySQL
  • FastAPI
  • Grafana
  • ReactJS
  • Model Context Protocol
  • AI Solution Engineering
  • Agentic Workflows
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • AsyncIO
  • Google Vertex AI
  • Langfuse
  • LiteLLM
  • Pydantic
  • SQLAlchemy

Posted: 1 day ago

We are seeking a Senior AI Agentic Developer to spearhead our next-generation AI-powered development initiatives. You will develop cutting-edge solutions that redefine the retail experience and position the client as an industry leader in generative AI.

Responsibilities

  • Design, develop, deploy, and maintain AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI, while adhering to development best practices and quality standards
  • Take end-to-end ownership of assigned GenAI systems, including architectural decisions, feature delivery, operational readiness, production support, and cost optimization
  • Adopt AI-augmented development workflows and demonstrate effective collaboration with AI coding assistants such as Claude Code and GitHub Copilot to accelerate delivery and improve code quality
  • Partner with solution engineers, architects, and product teams to develop technical design specifications and validate alignment with architectural standards, non-functional requirements, and business needs
  • Implement LLM orchestration patterns, including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured-output generation
  • Build and maintain observability pipelines for AI platforms, including trace analysis, token-usage tracking, cost monitoring, and quality metrics
  • Provide technical guidance and mentorship across the team, helping colleagues build skills in agentic development practices, prompt-engineering techniques, and AI-tool integration
  • Perform cross-platform analysis and trade-off assessments across backend technologies, frontend technologies, and AI services to ensure architectural consistency and identify optimization opportunities
  • Troubleshoot issues, analyze root causes, and code, test, and implement software enhancements across the full stack
  • Ensure timely delivery of AI initiatives by proactively communicating risks, blockers, and schedule impacts, and drive resolution to maintain commitments
  • Manage concurrent deliverables across services and platforms, respond to operational requests, and resolve production issues effectively
  • 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

  • 3+ years of experience in software development, with hands-on expertise in generative AI and agentic development, including AI coding assistants such as Claude Code, GitHub Copilot, Cursor, and Windsurf
  • Expertise in generative AI application development, GenAI design patterns, and GenAI cloud platforms, including Google Cloud Vertex AI, Gemini, Anthropic Claude, and OpenAI
  • Proficiency in LLM observability and tracing with Langfuse, LangSmith, or similar platforms
  • Skills in prompt-engineering techniques, including chain-of-thought prompting, few-shot learning, and structured outputs
  • Knowledge of LLM orchestration, RAG architectures, multi-agent systems, tool calling, and agent evaluation
  • Proficiency in Python, FastAPI, asynchronous programming, Pydantic, and SQLAlchemy ORM
  • Background in MySQL and PostgreSQL databases, query optimization, and Alembic migrations
  • Familiarity with authentication and authorization patterns, including OAuth 2.0, Okta, JWT, and role-based access control (RBAC)
  • Competency in Docker, Docker Compose, Kubernetes, and container orchestration
  • Skills in React, TypeScript, Zustand state management, and Material UI (MUI)
  • Familiarity with data-visualization libraries, including Recharts and D3.js
  • Knowledge of Google Cloud Platform, including Vertex AI, Cloud Run, BigQuery, Cloud Storage, and IAM, and experience with Git, CI/CD, GitHub Actions, and ArgoCD
  • English proficiency at B2 level or higher

Benefits

  • 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

Additional information

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.

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