Senior AI Agentic Developer

EPAM·Argentina, Colombia, Mexico, Brazil·Удалённо·2д. назад

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