Senior AI Agentic Developer

EPAM Systems Inc; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

EPAM Systems seeks a Senior AI Agentic Developer to lead next-generation AI-powered development initiatives for retail. You will design, deploy, and maintain GenAI solutions, collaborating with product teams and AI assistants to ensure architectural alignment and cost efficiency.

You will own deployments across Python backends and React frontends, implement advanced orchestration patterns, and mentor teammates while optimizing observability and performance for scalable AI platforms.

Qualifications

• 3+ years of software development with generative AI and agentic development.
• Experience with AI coding assistants like Claude Code, GitHub Copilot, Cursor, Windsurf.
• Proficiency with Google Cloud Vertex AI and GenAI cloud platforms.
• Strong knowledge of LLM observability and tracing with Langfuse or LangSmith.
• Skills in prompt-engineering, chain-of-thought prompting, few-shot learning, and structured outputs.
• Experience with Docker, Kubernetes, and cloud-native architectures.
• Frontend: React, TypeScript, Zustand, MUI.
• Backend: Python, FastAPI, asynchronous programming, Pydantic, SQLAlchemy.
• Databases: MySQL and PostgreSQL, with migrations (Alembic).
• Security: OAuth 2.0, Okta, JWT, RBAC.
• CI/CD using GitHub Actions and ArgoCD.
• GCP tools: Vertex AI, Cloud Run, BigQuery, Cloud Storage, IAM.
• English proficiency at B2 level or higher.

Responsibilities

• Design, develop, deploy, and maintain AI-powered apps using Python/FastAPI backends and React/TypeScript frontends.
• Own GenAI systems end-to-end: architecture decisions, features, ops readiness, production support, cost optimization.
• Collaborate with AI coding assistants like Claude Code and Copilot to accelerate delivery and improve quality.
• Develop technical design specs with solution engineers, architects, and product teams.
• Implement LLM orchestration patterns, including prompt engineering and RAG.
• Build observability pipelines for AI platforms: trace analysis, token usage, cost metrics.
• Mentor team members in agentic development and AI-tool integration.
• Perform cross-platform analysis and optimization across backend, frontend, and AI services.

Skills

GenAI expertise

Mentorship

English communication

Tools

Python

FastAPI

React

TypeScript

Google Cloud Vertex AI

LangFuse

Grafana

Dynatrace

Splunk

Docker

Kubernetes

SQLAlchemy

Pydantic

Alembic

BigQuery

Cloud Run

OAuth 2.0

Okta

JWT

RBAC

React

ArgoCD

GitHub Actions

Job description

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 evaluationProficiency 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