Senior Software Engineer, Agentic Platforms

The role

You will be a senior engineer on the team building the internal AI engineering platform. The work covers distributed systems, reliable services and pipelines, and automating manual engineering workflows, including an agentic layer that connects AI agents to engineering decisions.

What you will do

• Design, build and operate production-grade platform services and infrastructure.
• Find manual, repetitive engineering workflows and automate them as self-service tools.
• Build and evolve the agentic layer: agent lifecycle, tool and MCP integrations, sandboxed execution, multi-agent workflows.
• Design the semantic data layer that agents query and act on.
• Build safe action execution paths with access control and decision audit.
• Own system design for new platform capabilities from requirements through rollout and operations.
• Work with customers: lead technical onboarding, gather requirements, debug production issues.
• Set best practices for agent evaluation, observability and safety guardrails.

Required qualifications

• Master's degree in Computer Science, Software Engineering, or related fields.
• 5+ years building and operating production distributed systems.
• Proficiency in Python and TypeScript.
• Solid grasp of databases, message queues, caching and API design.
• A track record of turning manual processes into tools, pipelines or self-service systems.
• Hands-on experience with AI coding tooling and LLM APIs, including tool use and function calling.
• Experience with agentic systems or task orchestration platforms.
• Strong cross-team communication skills.

Nice to have

• Familiarity with autonomous driving terminology and model development workflows.
• Direct customer-facing experience such as solutions engineering, technical onboarding or enterprise support.
• Experience with semantic layers, knowledge graphs or object models.
• Experience integrating with enterprise or operational systems.
• Experience with evaluation frameworks and observability for LLM applications.
• Familiarity with sandboxing or isolation technologies.
• Contributions to open-source agent frameworks, MCP servers or developer tools.
• Experience driving adoption of developer tooling within engineering organizations.

Benefits

• A fun, supportive and engaging environment.
• Opportunity to make significant impact on the transportation revolution through advancing autonomous driving.
• Opportunity to work on cutting-edge technologies with top talent in the field.
• Competitive compensation package.
• Snacks, lunches and fun activities.

About the company

XPENG is a smart technology company integrating AI and autonomous driving into electric vehicles, eVTOL aircraft and robotics. It focuses on intelligent mobility through R&D in AI, machine learning and smart connectivity.