Senior AI Platform Engineer: Automation & Agent Workflows

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

Benefits offered by this job

Snacks

Lunches

Fun activities

Job summary

XPENG is seeking a senior engineer to lead the development of our internal AI engineering platform, building robust distributed systems, automated workflows, and safe action execution paths. You will design the semantic data layer and connect agents to real engineering decisions, collaborating with customers to drive adoption.

You will contribute to the agentic layer, tool integrations, and MCP-backed workflows while ensuring reliability, observability, and end-to-end security across platforms.

Qualifications

• Master's degree in CS, software engineering, or related field.
• 5+ years building and operating production distributed systems.
• Proficiency in Python and TypeScript; databases, message queues, caching, and API design.

Responsibilities

• Design, build, and operate production-grade platform services and infrastructure with 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 systems, workflows, and decision data as connected objects and tools.
• 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: onboarding, gather requirements, debug issues, turn feedback into roadmap priorities.
• Establish best practices for agent evaluation, observability, and safety guardrails.

Skills

Distributed systems

Python

TypeScript

API design

Automation

LLM tooling

Agentic systems

Cross-team communication

Education

Master's degree in Computer Science / Software Engineering

Tools

MCP servers

Workflow engines

Knowledge graphs

Job description

XPENG is seeking a senior engineer to lead the development of our internal AI engineering platform, building robust distributed systems, automated workflows, and safe action execution paths. You will design the semantic data layer and connect agents to real engineering decisions, collaborating with customers to drive adoption.

You will contribute to the agentic layer, tool integrations, and MCP-backed workflows while ensuring reliability, observability, and end-to-end security across platforms.