AI Agentic Developer

AI Agentic Developer
Location-San Francisco, California (Remote PST Hours)
Job Type-W2

Details: 
We are seeking an AI Agentic Developer - to spearhead our next-generation AI-powered development initiatives. You''ll be responsible for developing cutting-edge solutions that redefine the retail experience and position Sephora as an industry leader. 

Responsibilities: 

• Designs, develops, deploys, and maintains AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI, while adhering to development best practices and quality standards. 
• Takes full end-to-end ownership of assigned GenAI systems, including architectural decisions, feature delivery, operational readiness, production support, and cost optimization. 
• Leads by example in adopting AI-augmented development workflows, demonstrating effective collaboration with AI coding assistants (Claude Code, GitHub Copilot) to accelerate delivery and improve code quality. 
• Works closely with solution engineers, architects, and product teams to develop technical design specifications and validate that proposed solutions align with architectural standards, non-functional requirements, and business needs. 
• Implements LLM orchestration patterns including prompt engineering, retrieval-augmented generation (RAG), multi-agent workflows, and structured output generation. 
• Builds and maintains observability pipelines for AI systems platforms, including trace analysis, token usage tracking, cost monitoring, and quality metrics. 
• Provides technical guidance and mentorship across the team, upskilling members on agentic development practices, prompt engineering techniques, and AI tool integration. 
• Performs cross-platform analysis and trade-off assessments across backend (Python/FastAPI), frontend (React/TypeScript), and AI services (Google Cloud Platform Vertex AI, LangFuse) to ensure consistency and identify optimization opportunities. 
• Responsible for troubleshooting and issue analysis, as well as coding, testing, and implementing software enhancements across the full stack. 
• Ensures timely delivery of AI initiatives, proactively communicating risks, blockers, and schedule impacts, and driving resolution to maintain delivery commitments. 
• Demonstrates exceptional prioritization and multitasking skills to manage concurrent deliverables across services and platforms, handle operational requests, and resolve production issues effectively. 
• Uses observability and monitoring tools (e.g., LangFuse, Grafana, Dynatrace, Splunk) to actively review dashboards, investigate anomalies, monitor AI model performance, and track cost metrics. 
• Available to support/unblock planned deployments during off hours as needed. 

We are excited about you if you have the following experience: 

• AI Coding Assistants (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf) 
• Generative AI Application Development/Generative AI Design Patterns 
• GenAI cloud platforms (Google Cloud Vertex AI, Gemini, Anthropic Claude, OpenAI) 
• LLM Observability and Tracing (LangFuse, LangSmith, or similar) 
• Prompt Engineering techniques (e.g., chain-of-thought, few-shot learning, structured outputs) 
• Python, FastAPI, async programming, Pydantic, SQLAlchemy ORM 
• React, TypeScript, Zustand state management, Material-UI (MUI) 
• Data visualization libraries (Recharts, D3.js) 
• MySQL/PostgreSQL databases, query optimization, Alembic migrations 
• Git, CI/CD, GitHub Actions, ArgoCD 
• Docker and docker-compose 
• Google Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, IAM) 
• Authentication and Authorization (OAuth 2.0, Okta, JWT, RBAC) 
• Kubernetes and container orchestration 
• Grafana, Prometheus Monitoring 
• Dynatrace + Splunk working knowledge to setup and monitor service alerts 
• RESTful API Design Patterns, OpenAPI/Swagger Documentation 
• Experience with markup languages such as JSON and YAML 
• UV package manager, Poetry, modern Python tooling 

Additional Qualifications: 

• Bachelor''s or master''s degree in computer science, AI/ML, Information Technology, or equivalent experience 
• 5+ years of software engineering experience with at least 2+ years focused on AI/ML or GenAI applications 
• Proven track record of delivering production AI systems with end-to-end ownership 
• Expert-level proficiency with AI coding assistants and agentic development workflows 
• Strong full-stack development skills across Python and TypeScript/React ecosystems 
• Good communication skills (verbal and written) with ability to articulate complex AI concepts to diverse audiences 
• Strong delegation skills with the ability to receive, prioritize, and execute on delegated tasks autonomously 
• Proven ability to context-switch between different codebases, tech stacks, and AI platforms efficiently 
• Leadership mindset with experience mentoring engineers and driving technical decisions 
• Being able to seamlessly integrate new AI technologies and agentic workflows into current work streams 
• Intermediate to advanced knowledge of microservice design patterns and trade-offs 
• Understanding of responsible AI practices including bias, safety, and ethical considerations 
• Experienced on Agile methodology and tools (Jira, Confluence) 
• Work experience in the Retail industry is a plus