AI Agentic Developer -Remote

Position: AI Agentic Developer Location: SFO-Remote 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 PatternsGenAI 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 ORMReact, TypeScript, Zustand state management, Material-UI (MUI)Data visualization libraries (Recharts, D3.js)MySQL/PostgreSQL databases, query optimization, Alembic migrationsGit, CI/CD, GitHub Actions, ArgoCDDocker and docker-composeGoogle Cloud Platform (Vertex AI, Cloud Run, BigQuery, Cloud Storage, IAM)Authentication and Authorization (OAuth 2.0, Okta, JWT, RBAC)Kubernetes and container orchestrationGrafana, Prometheus MonitoringDynatrace + Splunk working knowledge to setup and monitor service alertsRESTful API Design Patterns, OpenAPI/Swagger DocumentationExperience with markup languages such as JSON and YAMLUV package manager, Poetry, modern Python tooling Additional Qualifications: 5+ years of software engineering experience with at least 2+ years focused on AI/ML or GenAI applicationsProven track record of delivering production AI systems with end-to-end ownershipExpert-level proficiency with AI coding assistants and agentic development workflowsStrong full-stack development skills across Python and TypeScript/React ecosystemsGood communication skills (verbal and written) with ability to articulate complex AI concepts to diverse audiencesStrong delegation skills with the ability to receive, prioritize, and execute on delegated tasks autonomouslyProven ability to context-switch between different codebases, tech stacks, and AI platforms efficientlyLeadership mindset with experience mentoring engineers and driving technical decisionsBeing able to seamlessly integrate new AI technologies and agentic workflows into current work streamsIntermediate to advanced knowledge of microservice design patterns and trade-offsUnderstanding of responsible AI practices including bias, safety, and ethical considerationsExperienced on Agile methodology and tools (Jira, Confluence)Work experience in the Retail industry is a plus