Lead AI Agentic Developer

We are building a Lead AI Agentic Developer role to lead AI-powered engineering initiatives that elevate the retail experience through generative AI. You will own agentic and RAG solutions end-to-end across Python/FastAPI, React/TypeScript, and Google Cloud Vertex AI, with strong observability and cost controls.

Responsibilities

• Design, build, deploy, and support AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI while following best practices and quality standards
• Own GenAI systems end to end, covering architecture choices, feature delivery, operational readiness, production support, and cost optimization
• Apply AI-augmented engineering workflows and collaborate effectively with AI coding assistants such as Claude Code and GitHub Copilot to speed delivery and improve code quality
• Collaborate with solution engineers, architects, and product teams to produce technical design specifications and confirm alignment with architectural standards, non-functional requirements, and business needs
• Implement LLM orchestration approaches including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured-output generation
• Create and maintain observability pipelines for AI platforms, including trace analysis, token-usage tracking, cost monitoring, and quality metrics
• Provide technical leadership and mentorship to help teammates grow in agentic development practices, prompt-engineering techniques, and AI-tool integration
• Evaluate cross-platform trade-offs across backend technologies, frontend technologies, and AI services to maintain architectural consistency and identify optimization opportunities
• Troubleshoot defects, perform root-cause analysis, and code, test, and deliver full-stack enhancements
• Communicate risks, blockers, and schedule impacts early to ensure on-time delivery of AI initiatives and drive resolution to protect commitments
• Coordinate multiple deliverables across services and platforms, handle operational requests, and resolve production issues efficiently
• 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

• Proven background of 5+ years in software development, including hands-on generative AI and agentic development with AI coding assistants such as Claude Code, GitHub Copilot, Cursor, and Windsurf
• Deep expertise in generative AI application development, GenAI design patterns, and GenAI cloud platforms including Google Cloud Vertex AI, Gemini, Anthropic Claude, and OpenAI
• Hands-on experience with LLM observability and tracing using Langfuse, LangSmith, or similar platforms
• Strong skills in prompt-engineering methods such as chain-of-thought prompting, few-shot learning, and structured outputs
• Solid understanding of LLM orchestration, RAG architectures, multi-agent systems, tool calling, and agent evaluation
• Advanced proficiency in Python, FastAPI, asynchronous programming, Pydantic, and SQLAlchemy ORM
• Strong background with MySQL and PostgreSQL, including query optimization and Alembic migrations
• Practical knowledge of authentication and authorization patterns including OAuth 2.0, Okta, JWT, and role-based access control (RBAC)
• Proven experience with Docker, Docker Compose, Kubernetes, and container orchestration
• Hands-on frontend skills with React, TypeScript, Zustand state management, and Material UI (MUI)
• Working knowledge of data-visualization libraries including Recharts and D3.js
• Strong experience with Google Cloud Platform, including Vertex AI, Cloud Run, BigQuery, Cloud Storage, and IAM, plus Git, CI/CD, GitHub Actions, and ArgoCD
• English proficiency at B2 level (Upper-Intermediate) or higher