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
Requirements:
Designs, develops, deploys, and maintains AI-powered applications using Python/FastAPI backends, React/TypeScript frontends, and Google Cloud Vertex AI.
Takes full end-to-end ownership of assigned GenAI systems, including architectural decisions and feature delivery.
Leads by example in adopting AI-augmented development workflows, collaborating with AI coding assistants.
Implements LLM orchestration patterns including prompt engineering and retrieval-augmented generation.
Job description
Position: AI Agentic Developer Location: SFO-Remote Rate: DOE
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 (GCP 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
