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Ford Motor Company

Full Stack Software Engineer - AI Applications

Ford Motor Company

Location
Onsite (Allen Park, MI)
Compensation
$85k - $192k/yr
Employment
Full-time
Level
Mid Level
Posted 3 days ago

About the Role

Ford Motor Company is seeking a Full Stack Software Engineer to develop and deploy AI applications, including agents and RAG pipelines, for their Universal Electric Vehicle initiative. This role involves architecting scalable cloud, backend, and frontend solutions.

Skills

Python JavaScript TypeScript React Node.js LLMs RAG Vector Stores GCP Cloud Run Cloud Functions GKE BigQuery Terraform CI/CD Microservices

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Paid Time Off
  • Paid Holidays

Perks

  • Vehicle Discount
  • Tuition Assistance
  • Adoption Assistance

Full job details

Who You Are

An agent orchestrator, not a typist. You don't want to be a faster keyboard. You want to be a manager of agents — handing off the heavy lifting, reviewing the output, and keeping your hands on the architecture. The IDE is a cockpit for orchestration, not a text editor.

Productively lazy. Your dream workflow: describe the requirement, let the agent build it, verify, ship, next. You automate anything a human shouldn't be doing twice. Your biggest bottleneck should be deciding what to build — while AI executes the how.

Fundamentals first. Data structures, algorithms, distributed systems, networking — you understand the machine, not just the library that wraps it. When a framework breaks, you fix it. When AI gives you the wrong answer, you catch it. Orchestrating agents only works if you can tell good output from garbage.

First-principles thinker with vision. You break problems to their core, question the assumptions, and rebuild. A software engineer's job is to architect solutions, not wrestle with syntax. You don't copy an architecture because "that's how it's done" — you ask why and decide if there's a better way.

High agency. You don't wait for perfect specs or permission. You find a path, propose it, and move. Large organizations have walls; you figure out which ones to go through, around, or remove — and you do it constructively.

Bias for action. Requirements will be messy and priorities will shift. You ship v1, learn, and iterate instead of living in design review.