{"id":3462447,"url":"https://alion.io/job/ford-motor-company-software-engineer-22","title":"Software Engineer","company":{"id":4094,"name":"Ford Motor Company","domain":"ford.com","url":"https://alion.io/company/ford-motor-company","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":96,"open_postings":115,"ghost_share":0.017,"stale_share":0.287,"repost_share":0.07,"time_to_fill_p50_days":3,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"RAG","optional":false},{"name":"Embeddings","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Git","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Google Cloud Run","optional":true},{"name":"Google GKE","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Node JS","optional":true},{"name":"Python","optional":true},{"name":"React.js","optional":true},{"name":"Rest API","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true}],"status":"closed","first_seen_at":"2026-10-29T09:19:25Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-06T20:21:12Z","board_verified":false,"closed_at":"2026-11-06T20:21:12Z","days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Who You Are\nAn agent orchestrator, not a typist. You don't want to bea 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.\nProductivelylazy. 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 whatto build - while AI executes the how.\nFundamentals 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 worksif you can tell good output from garbage.\nFirst-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.\nHigh 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.\nBias for action. Requirements will be messyand priorities will shift. You ship v1, learn, and iterate instead of living in design review.\nWhy This Role\nFord 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.\nWhat You'll Do\nOrchestrate agents to build. Use AI as your default way of working - agents do the heavy lifting, youdirect, review, and harden. You set the bar for how the team builds with AI.\n\nBuild 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.\n\nShip 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.\n\nConnectsystems that don't want to be connected. Build the integration layer across enterprise SaaS platforms. Expect messy APIs, legacy constraints, and creative problem-solving.\n\nAutomate what shouldn't be manual. If a human repeats it, you write the code - or point an agent at it - to stop it.\n\nMake other engineers faster. Build the tools, agent workflows, and guardrails that remove friction. Developer productivity is a multiplier.\n\nRequirements \nBS in Computer Science, Electrical Engineering, or a related field. MS is a plus, not a substitute for shipping software.\n\n2+ years building and deploying full-stack applications in production.\n\n2+ years on cloud-native platforms (GCP preferred).\n\nDemonstrable experience building AI agents or applications - show us what you've built, not what you've read.\n\nWhat You Bring\n\nPython - deep. You write production systems, not just scripts.\n\nJavaScript / TypeScript - React, Node.js, or equivalent. A real frontend and a real API. Front-end strength is a big plus.\n\nAI engineering - LLMs, embeddings, vector stores, RAG. Comfortable building agents and evaluation pipelines. Bonus for fine-tuning or eval work.\n\nAI-assisted development - fluent with modern AI coding tools and agent workflows, and clear-eyed about where they help and where they don't.\n\nGCP - Cloud Run, Cloud Functions, GKE, BigQuery, Cloud Storage. Deployed and operated, not just tutorials.\n\nDatabases - relational and NoSQL. You know when to use what, and why.\n\nAPIs & microservices - designed and built RESTful services at scale.\n\nGit,IaC & CI/CD - Terraform, Cloud Build, or equivalent. 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