**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. **Why This Role** Ford is a 120-year-old company moving rapid 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. **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. **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. + **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.

📌 Software Engineer (Chennai)
🏢 Ford Motor
📍 Chennai