Full-Stack Python Engineer

Senior Full-Stack Python Engineer (AI & Root Cause Analysis)

Pay Rate:
Up to $72.46/hour (W2)

Contract Duration: 3–6 Months

Travel:
Occasional travel within the Bay Area required

Industry: Autonomous Mobility Company

Note:
Must have legal authorization to work in the United States. No Corp-to-Corp (C2C/C2H) or Visa sponsorship provided.

A leading company in the autonomous mobility industry is seeking a Senior Full-Stack Python Engineer to help expand an AI-powered platform that automates issue triage and root cause analysis (RCA) for manufacturing operations.

This is a highly hands-on engineering role focused on building and enhancing LLM-powered applications
, integrating manufacturing data sources, and delivering production-ready features in a fast-paced environment. The position is approximately 85% coding with a strong backend emphasis.

Please note: This is not an ML research, architecture, or infrastructure/SRE position.

• Design and enhance AI-powered triage and RCA agents to diagnose manufacturing failures and recommend solutions.
• Integrate diverse manufacturing and operational data sources, including diagnostics, historical issues, BOMs, firmware configurations, and collaboration tools.
• Collaborate with engineering teams to evaluate AI outputs, improve prompts and tooling, and increase solution accuracy.
• Deliver scalable, maintainable, and well-tested code within an existing production platform.
• Contribute to the expansion of AI-driven workflows that accelerate manufacturing issue resolution.

• Strong experience with Python development
  , including REST APIs, FastAPI, asynchronous processing, and data pipelines.
• Full-stack development experience with modern front-end frameworks such as React, Vue, or similar technologies
  .
• Hands-on experience building LLM-powered applications or AI agents
  , including prompt engineering, tool integration, and output evaluation.
• Proven ability to quickly become productive within existing codebases and deliver features in fast-paced environments.
• Experience integrating APIs and working with multiple external data sources.
• Strong software engineering fundamentals and commitment to producing production-quality code.

• Experience with Bazel or other large monorepo build systems.
• Background in manufacturing, hardware, diagnostics, or test-data environments.
• Experience with vector search, embeddings, log analysis, or ticket analysis.
• Familiarity with Databricks, AWS, GCP, CI/CD pipelines, and observability tools
  .

• 30-minute Hiring Manager video interview
• 90-minute panel interview (includes an onsite component)