Software Engineer

Job ID

72346

Category

Enterprise Technology

Location

Chennai, India

Work Type

On\-site

• *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 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.

• *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.