Senior GenAI Architect & Agentic Development Lead

EPAM Systems

Argentina

On-site

ARS 91,106,000 - 182,213,000

Full time

3 hours ago
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Benefits offered by this job

Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling and certification courses

Job summary

EPAM Systems is seeking a Senior AI Agentic Developer to lead next-generation AI-powered development initiatives for retail experiences. You will design and deploy AI-enabled backends in Python/FastAPI with React/TypeScript frontends, leveraging Google Cloud Vertex AI and cutting-edge GenAI patterns.

You will own GenAI systems end-to-end—from architecture and feature delivery to production support and cost optimization—while guiding the team in prompt engineering, tool integration, and

Qualifications

  • 3+ years of software development with hands-on generative AI experience.
  • Experience with AI coding assistants such as Claude Code and GitHub Copilot.
  • Proficiency in Python, FastAPI, asynchronous programming, and modern web frontends (React/TypeScript).

Responsibilities

  • Design, develop, deploy, and maintain AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI.
  • Take end-to-end ownership of GenAI systems, including architecture, delivery, operations, and cost optimization.
  • Collaborate with solution engineers, architects, and product teams to validate designs against requirements and standards.
  • Implement LLM orchestration patterns, including prompt engineering, RAG, multi-agent workflows, and structured-output generation.

Skills

Python
FastAPI
React
TypeScript
GenAI
Copilot/Claude Code
Prompt Engineering
LLM Observability
Vertex AI
Kubernetes
Docker
SQLAlchemy
GitHub Actions
ArgoCD
Observability Tools

Tools

Vertex AI
LangFuse
Grafana
Dynatrace
Splunk
Docker
Kubernetes
GitHub Actions
ArgoCD
SQLAlchemy

Job description

EPAM Systems is seeking a Senior AI Agentic Developer to lead next-generation AI-powered development initiatives for retail experiences. You will design and deploy AI-enabled backends in Python/FastAPI with React/TypeScript frontends, leveraging Google Cloud Vertex AI and cutting-edge GenAI patterns.

You will own GenAI systems end-to-end—from architecture and feature delivery to production support and cost optimization—while guiding the team in prompt engineering, tool integration, and

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