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Job ID
66003
Category
Enterprise Technology
\uc704\uce58
Long Beach, California
Work Type
On-site
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Who You Are
An agent orchestrator, not a typist.\u00a0You don’t want to be a faster keyboard. You want to be a manager of agents \u2014 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.<\/p>\n
Productively lazy.\u00a0Your 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\u00a0what\u00a0to build \u2014 while AI executes the\u00a0how.<\/p>\n
Fundamentals first.\u00a0Data structures, algorithms, distributed systems, networking \u2014 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.<\/p>\n
First-principles thinker with vision.\u00a0You 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” \u2014 you ask why and decide if there’s a better way.<\/p>\n
High agency.\u00a0You 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 \u2014 and you do it constructively.<\/p>\n
Bias for action.\u00a0Requirements will be messy and priorities will shift. You ship v1, learn, and iterate instead of living in design review.<\/p>\n
What You’ll Do
Orchestrate agents to build.\u00a0Use AI as your default way of working \u2014 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.\u00a0Design and ship AI-powered applications and agents \u2014 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.\u00a0Design, 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.\u00a0Build the integration layer across enterprise SaaS platforms. Expect messy APIs, legacy constraints, and creative problem-solving.
Automate what shouldn’t be manual.\u00a0If a human repeats it, you write the code \u2014 or point an agent at it \u2014 to stop it.
Make other engineers faster.\u00a0Build the tools, agent workflows, and guardrails that remove friction. Developer productivity is a multiplier.
\u00a0<\/p>\n
What You Bring
Python\u00a0\u2014 deep. You write production systems, not just scripts.
JavaScript \/ TypeScript\u00a0\u2014 React, Node.js, or equivalent. A real frontend and a real API. Front-end strength is a big plus.
AI engineering\u00a0\u2014 LLMs, embeddings, vector stores, RAG. Comfortable building agents and evaluation pipelines. Bonus for fine-tuning or eval work.
AI-assisted development\u00a0\u2014 fluent with modern AI coding tools and agent workflows, and clear-eyed about where they help and where they don’t.
GCP\u00a0\u2014 Cloud Run, Cloud Functions, GKE, BigQuery, Cloud Storage. Deployed and operated, not just tutorials.
Databases\u00a0\u2014 relational and NoSQL. You know when to use what, and why.
APIs & microservices\u00a0\u2014 designed and built RESTful services at scale.
Git, IaC & CI\/CD\u00a0\u2014 Terraform, Cloud Build, or equivalent. Reproducible, version-controlled infrastructure and disciplined code review.
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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 \u2014 show us what you’ve built, not what you’ve read.
\u00a0<\/p>\n
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 \u2014 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 \u2014 and have the grit to push through the hard parts \u2014 let’s talk.<\/p>\n
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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
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For a detailed look at our benefits, click here: https:\/\/fordcareers.co\/GSR<\/p>\n
This position ranges from salary grade 6-8 and ranges from $85,400-$232,700.<\/p>\n
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.<\/p>\n
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Visa sponsorship IS available for this position.<\/p>\n
Relocation assistance IS provided for this position.<\/p>\n
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