Full Stack Software Engineer - AI Applications

## 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. ## What You'll Do - **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. ## What You Bring - **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. ## 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…