about 3 hours ago
Responsibilities
- Develop an API for 60+ AI models with features like authentication and cost optimization.
- Create a single access point for agents, skills, and knowledge bases.
- Manage microVM sandboxes for agent runtime and oversee a governed MCP gateway.
- Connect various data sources to knowledge bases for agent queries.
- Implement financial operations for AI spend governance.
- Build evaluation and observability tools for LLM performance.
- Collaborate with teams to develop production agents and feedback loops.
Requirements
- Proven experience in software engineering with a focus on AI technologies.
- Strong understanding of LLMs and agent infrastructure.
- Ability to manage high-impact initiatives across multiple quarters.
- Experience collaborating with cross-functional teams including engineering and product.
- Excellent communication skills for public speaking and showcasing work.