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ES

Senior AI Agentic Developer

EPAM Systems
๐Ÿ‡ฆ๐Ÿ‡ท Argentina | ๐Ÿ‡ง๐Ÿ‡ท Brazil | ๐Ÿ‡จ๐Ÿ‡ด Colombia | ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico
Remote
Senior
2 days ago
  • AI
  • Machine Learning
  • Python
  • FastAPI
  • React.js
  • TypeScript
  • GCP
  • Vertex AI
  • Claude Code
  • RAG
  • Grafana
  • Dynatrace
  • Splunk
  • Cursor
  • Gemini
  • Anthropic Claude
  • OpenAI
  • LangSmith
  • Pydantic
  • SQLAlchemy
  • MySQL
  • PostgreSQL
  • Alembic
  • Okta
  • JWT
  • RBAC
  • Docker
  • Docker Compose
  • Kubernetes
  • Zustand
  • Material UI
  • Data Visualization
  • Recharts
  • D3.js
  • Cloud Run
  • BigQuery
  • IAM
  • Git
  • CI/CD
  • GitHub Actions
  • ArgoCD
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We are seeking aSenior 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

Senior AI Agentic Developer ยท EPAM Systems

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