Senior Software Engineer, Agentic Platforms

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.

You will be a senior engineer on the team building our internal AI engineering platform — the systems, services, and automation that power how our engineers build and ship software. A core mission is connecting agents to real engineering decisions: giving agents a connected, semantic view of our systems and data, and letting them propose and safely execute actions against operational systems.

The agentic layer (NL intake, agentic trouble-shooting, task orchestration, auto-research loop) is an important component, but the foundation of this role is strong software engineering: designing robust distributed systems, building reliable services and pipelines, and relentlessly automating manual workflows. You'll also work directly with internal and external customers to understand their workflows and drive adoption.

• 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 Type Script; 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…