Senior Software Engineer, Agentic Platforms
$174,720–$295,680 year
On-siteSanta Clara, California, United States
Job Summary
Design, build, and operate production-grade platform services with strong reliability and observability while identifying manual workflows to eliminate through self-service automation. Build and evolve the agentic layer, including agent lifecycle, tool integrations, and sandboxed execution, alongside the semantic data layer that grounds agents in connected system objects. Establish safe action execution paths with granular access control and end-to-end decision lineage, then own system design for new capabilities from requirements through rollout. Work directly with internal and external customers to lead technical onboarding, debug production issues, and drive adoption of developer tooling.
Required Qualifications
- Master's degree in Computer Science, Software Engineering, or related fields
- 5+ years building and operating production distributed systems, with demonstrated strength in system design and software engineering fundamentals
- Proficiency in Python and TypeScript; solid grasp of databases, message queues, caching, and API design
- A builder's instinct for automation: a track record of turning manual processes into tools, pipelines, or self-service systems
- Hands-on experience with modern AI coding tooling and LLM APIs, including tool use/function calling
- Experience with agentic systems or task orchestration platforms (workflow engines, multi-agent frameworks, MCP servers, or similar)
- Strong cross-team communication skills
Desired Qualifications
- Familiarity with Autonomous Driving terminologies and model development workflows
- Direct customer-facing experience: solutions engineering, technical onboarding, developer relations, or enterprise support
- Experience with data/domain modeling: semantic layers, knowledge graphs, or object models over heterogeneous data sources
- Experience integrating with enterprise or operational systems (internal platforms, legacy APIs, writeback to systems of record)
- Experience with evaluation frameworks and observability for LLM applications
- Familiarity with sandboxing/isolation technologies
- Contributions to open-source agent frameworks, MCP servers, or developer tools
- Experience driving adoption of developer tooling within engineering organizations
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