Related skills
react python django typescript langchainπ Description
- Set multi-year AI platform strategy with senior EPD leadership on long-term vision
- Architect AI systems for multiple product teams (LLM orchestration, MCP infra)
- Own technical decisions with organization-wide impact when the right answer is ambiguous
- Define engineering-wide quality standards and patterns for AI development
- DriveTechnical alignment between Agentic SDK and product teams consuming AI
- Coach P4 engineers toward staff-level impact
π― Requirements
- 8+ years of software engineering with staff-level leadership
- Deep expertise in LLM orchestration and agent frameworks
- Experience designing MCP integrations and knowledge systems at scale
- Track record of cross-team, multi-year technical strategy
- Partner with senior leadership to align tech with business goals
- Mentor senior engineers toward staff-level impact
π Benefits
- Python and Django backend expertise
- Full-stack with React and TypeScript
- Experience scaling internal AI/ML platforms
- Familiarity with LangChain/LangGraph
- Deep expertise in multi-agent architectures and tool ecosystems
- AI observability and production monitoring experience
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