Software Engineer

Location: India

⁠⁠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.

•Design and deliver scalable, secure, end-to-end software solutions across Java, Angular, and Python ecosystems to shape the software-driven future of mobility. •Bridge the gap between traditional enterprise applications and the next generation of AI-driven solutions by leveraging modern development tools, LLMs, and automation. •Partner with global cross-functional teams to translate complex business requirements into high-quality, iterative digital products.