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Sr. DevOps Software Engineer — AI Applications

Ford
Palo Alto, USA
Full-time
Entry · 2+ years experience
Hybrid
Discovered 2 weeks ago
PythonJavaScriptTypeScriptReactNode.jsLLMs
Free

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Responsibilities

  • Orchestrate agents to build. Use AI as your default way of working — agents do the heavy lifting, you direct, review, and harden. You set the bar for how the team builds with AI.
  • Build the AI use cases. Design and ship AI-powered applications and agents — RAG pipelines, LLM integrations, agentic workflows. Understand what's happening under the hood and make it work in production, at scale.
  • Ship cloud-native systems on GCP. Design, deploy, operate. You own the architecture, the infrastructure-as-code, and the CI/CD pipeline. No throwing code over the wall.
  • Connect systems that don't want to be connected. Build the integration layer across enterprise SaaS platforms. Expect messy APIs, legacy constraints, and creative problem-solving.
  • Automate what shouldn't be manual. If a human repeats it, you write the code — or point an agent at it — to stop it.
  • Make other engineers faster. Build the tools, agent workflows, and guardrails that remove friction. Developer productivity is a multiplier.

Qualifications

  • Python — deep. You write production systems, not just scripts.
  • JavaScript / TypeScript — React, Node.js, or equivalent. A real frontend and a real API. Front-end strength is a big plus.
  • AI engineering — LLMs, embeddings, vector stores, RAG. Comfortable building agents and evaluation pipelines. Bonus for fine-tuning or eval work.
  • AI-assisted development — fluent with modern AI coding tools and agent workflows, and clear-eyed about where they help and where they don't.
  • GCP — Cloud Run, Cloud Functions, GKE, BigQuery, Cloud Storage. Deployed and operated, not just tutorials.
  • Databases — relational and NoSQL. You know when to use what, and why.
  • APIs & microservices — designed and built RESTful services at scale.
  • Git, IaC & CI/CD — Terraform, Cloud Build, or equivalent. Reproducible, version-controlled infrastructure and disciplined code review.
  • BS in Computer Science, Electrical Engineering, or a related field. MS is a plus, not a substitute for shipping software.
  • 2+ years building and deploying full-stack applications in production.
  • 2+ years on cloud-native platforms (GCP preferred).
  • Demonstrable experience building AI agents or applications — show us what you've built, not what you've read.
  • Ford is a 120-year-old company moving fast on AI, and that's the real challenge: building world-class AI applications inside a large enterprise with real constraints — security, compliance, legacy systems. The engineers who thrive here treat those constraints as problems to solve, not reasons to stop. If you want a place where everything is already figured out, this isn't it. If you're a 10x thinker who wants to build something that matters — and have the grit to push through the hard parts — let's talk.
  • ────────────────────────────────────────────────────────────────────────────────
  • Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
  • We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

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