Full Stack Software Engineer - AI

Position: Full Stack Software Engineer - AI Applications
Job-:
Enterprise Technology

Location:

Palo Alto, CA, United States Workplace:
On-site

Schedule:

Full time Posted:

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.

Qualifications What You Bring Python — deep. You write production systems, not just scripts.

JavaScript / Type Script — 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, Big Query, Cloud Storage. Deployed and operated, not just tutorials.

Databases — relational and No

SQL. You know when to use what, and why.

APIs & microservices — designed and built RESTful services , IaC & CI/CD — Terraform, Cloud Build, or equivalent. Reproducible, version-controlled infrastructure and disciplined code review.

Requirements 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.

Why This Role 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.
* You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a…