⁠⁠You'll be a Full Stack Engineer who uses AI to build — and builds with AI. Two things at once: you ship real applications faster by treating LLMs as a team of junior developers you manage, and you build the AI use cases themselves — agents, RAG pipelines, LLM-powered products that work at scale. You'll work across the stack — cloud, backend, AI agents, frontend — and own what you build. We're building the Universal Electric Vehicle at Ford, doing things differently.

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.

Responsibilities
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 explicit-eyed about where they help and where they don't.
GCP — Cloud Run, Cloud Functions

📌 Software Engineer (India)
🏢 Ford Motor
📍 India