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Senior Software Engineer, Agentic Platforms

XPENG
CAN
Senior
USD 174720-295680 / year
Discovered 1 months ago
pythontypescript

Full Job Posting

  • Design, build, and operate production-grade platform services and infrastructure with strong reliability, observability, and performance.
  • Identify manual, repetitive engineering workflows and eliminate them through self-service automation on the platform.
  • Build and evolve the agentic layer: agent lifecycle, tool/MCP integrations, sandboxed execution, multi-agent workflows.
  • Design the semantic data layer that grounds agents: model our systems, workflows, and decision data as connected objects and tools that agents can query and act on.
  • Build safe action execution paths: connectors to internal and operational systems, staged propose–validate–approve–commit flows, with granular access control and end-to-end decision lineage/audit.
  • Own system design for new platform capabilities end to end, from requirements through rollout and operations.
  • Work directly with customers: lead technical onboarding, gather requirements, debug production issues, and turn field feedback into roadmap priorities.
  • Establish best practices for agent evaluation, observability, and safety guardrails.
  • 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.
  • 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.
  • A fun, supportive and engaging environment.
  • Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
  • Opportunity to work on cutting edge technologies with the top talent in the field.
  • Competitive compensation package.
  • Snacks, lunches and fun activities.

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