Full Stack Software Engineer - AI Applications

• 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.

• 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.

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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 deep dive into what you love, or a series of new teams and new skills?

Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage

• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

• Vehicle discount program for employees and family members and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year's Day

• Paid time off and the option to purchase additional vacation time

For a detailed look at our benefits, click here: https://fordcareers.co/GSR

This position ranges from salary grade 6-8 and ranges from $85,400-$232,700.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

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. 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. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

#LI-Onsite #LI-DS2

I'm looking for a "lazy" engineer. Not lazy about outcomes - lazy about effort that a machine should be doing. If hand-typing boilerplate makes you physically ill, if you'd rather describe a feature to an agent and move on to the next hard problem, you're who I want.

You'll be a Full Stack Engineer who uses AI to build - and builds with AI. Two things at once: you ship real applications faster by treating LLMs as a team of junior developers you manage, and you build the AI use cases themselves - agents, RAG pipelines, LLM-powered products that work at scale. You'll work across the stack - cloud, backend, AI agents, frontend - and own what you build.

We're building the Universal Electric Vehicle at Ford, doing things differently. If you already live in 2030, keep reading.