Senior AI Agentic Developer

EPAM Systems; Argentina; Sur place; ARS 91 106 000 - 182 213 000; Plein temps

Avantages offerts par ce poste

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling and certification courses

Résumé du poste

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).

Responsabilités

• 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.

Connaissances

Python

FastAPI

React

TypeScript

GenAI

Copilot/Claude Code

Prompt Engineering

LLM Observability

Vertex AI

Kubernetes

Docker

SQLAlchemy

GitHub Actions

ArgoCD

Observability Tools

Outils

Vertex AI

LangFuse

Grafana

Dynatrace

Splunk

Docker

Kubernetes

GitHub Actions

ArgoCD

SQLAlchemy

Description du poste

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

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