ES
Senior AI Agentic Developer
EPAM Systems
๐ฆ๐ท Argentina | ๐ง๐ท Brazil | ๐จ๐ด Colombia | ๐ฒ๐ฝ 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
2 days ago
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