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. About the Opportunity 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. What You’ll Do 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. Required Qualifications 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. Preferred Qualifications 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 . Interview Process 30-minute Hiring Manager video interview 90-minute panel interview (includes an onsite component) #J-18808-Ljbffr