Senior Software Engineer, AI Platform & Automation

Xpengmotors; Santa Clara (CA); On-site; USD 175,000 - 296,000; Full time

Benefits offered by this job

Engaging environment

Impact on transportation revolution

Cutting-edge technologies team

Competitive compensation

Snacks and meals

Job summary

XPENG is seeking a senior engineer to build our internal AI engineering platform, delivering production‑grade services, reliable pipelines, and self‑service automation. You will design distributed systems, while connecting agents to real engineering decisions and collaborating with customers to drive adoption.

You will own end‑to‑end platform capabilities, onboard customers, and help shape the roadmap for safer, observable, and scalable agentic systems across our AI tooling and autonomous

Qualifications

• Master’s degree in Computer Science, Software Engineering, or related field.
• 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: 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.

Responsibilities

• 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.

Skills

Python

TypeScript

Distributed systems

Automation

LLM tooling

Agentic systems

Cross-team communication

Education

Master’s degree in Computer Science or related field

Tools

Databases

Message queues

Caching

APIs design

Job description

XPENG is seeking a senior engineer to build our internal AI engineering platform, delivering production‑grade services, reliable pipelines, and self‑service automation. You will design distributed systems, while connecting agents to real engineering decisions and collaborating with customers to drive adoption.

You will own end‑to‑end platform capabilities, onboard customers, and help shape the roadmap for safer, observable, and scalable agentic systems across our AI tooling and autonomous