Full Stack – AI Native Application Developer

Siemens Mobility; Gurugram District; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Siemens Energy India Limited is seeking a Full Stack – AI Native Application Developer to own end-to-end web apps, guiding AI coding agents to deliver production-grade software from a business problem to a live URL.

You will work largely solo, integrating with enterprise systems and handling CI/CD, debugging production issues, and maintaining documentation as you ship rapidly.

Qualifications

• 5–6 years of relevant software development experience.
• Cloud fundamentals and database skills.
• Experience directing AI coding agents.

Responsibilities

• Turn stakeholder needs into Next.js/React apps without a formal spec.
• Direct AI coding agents to build features and verify outputs.
• Integrate with enterprise identity and data systems (SSO, Graph).
• Own deployment: CI/CD pipelines and containerized deploys.
• Debug production issues with diagnostics and live logs.
• Balance coding with product ownership and clear IT requests when needed.

Skills

AI-driven development guidance

Direct communication

Full-stack development

Production-ready mindset

Education

Bachelor’s or Master’s in CS/SE/Robotics or related field

Tools

AWS

ECS/Containers

CloudFormation

SQL

Job description

Full Stack – AI Native Application Developer

518859

20-Ago-2026

Research & Development

SIEMENS ENERGY INDIA LIMITED

We're looking for someone who builds and ships internal, production-grade web applications end-to-end — from a business problem to a live URL people use daily — by directing AI coding agents (Claude Code, GitHub Copilot) rather than hand-writing every line.

This isn't "prompt and hope": it's owning the full lifecycle — architecture calls, integration debugging, production incidents, and the judgment to know when the AI's output needs to be checked rather than trusted.

You'll work largely solo, moving fast between ideas, working prototype, and production deployment, while integrating with real enterprise systems (SSO, mailboxes, databases, cloud infrastructure) that don't forgive sloppy assumptions.

How You’ll Make an Impact (key responsibilities of role)

• Take a business need directly from a stakeholder (a team lead, an exec, a support team) and turn it into a working Next.js/React app without a formal spec or a dedicated developer team.
• Direct AI coding agents to build features, then verify their output against how the system actually behaves — not just whether it compiles.
• Integrate with enterprise identity and data systems: SSO (Cognito + Entra), Microsoft Graph (mailbox/calendar access), shared internal database APIs, cloud AI services (AWS Bedrock)
• Own deployment: CI/CD pipelines, containerized deploys, environment configuration — enough infra literacy to read a failed pipeline and fix it yourself
• Debug production issues by building your own diagnostics (an admin page, a probe endpoint) rather than waiting on someone else's logs
• Recognize the boundary between "I can fix this myself" and "this needs IT/platform team” and write a clear, specific ask when it's the later, instead of thrashing on a workaround
• Test in production and iterate from real usage rather than over-planning up front
• Keep documentation current enough that the next person (or the next AI session) doesn't have to rediscover what you already figured out

What You Bring (required qualification and skill sets)

Technical

• Bachelor’s or master’s degree in computer science, Software Engineering, Robotics, or a related field with minimum 5-6 years of relative experience
• Cloud fundamentals: AWS IAM, ECS/containers, CloudFormation basics — enough to reason about who owns what permission
• SQL / relational data modeling, working within a shared/managed database rather than standing up your own

AI-assisted development ("vibe coding") specifically

• Fluency directing AI coding agents to build real, deployed software — not just toy scripts
• The judgment to catch when an AI's output is subtly wrong (e.g., an IAM policy written for the wrong model version) rather than shipping it as-is
• Comfortable debugging by reading actual system behavior (live API calls, logs, diagnostics) instead of guessing
• Knows the difference between a code problem and an infrastructure/permissions problem — and doesn't burn cycles trying to code around the latter

Working style

• Direct communicator — wants the one-sentence answer, not a hedge
• Ships fast, tests in prod, iterates from what breaks
• Comfortable being both the builder and the product owner for what you ship
• Persistent through ambiguous, multi-day infrastructure blockers without losing momentum on everything else

Nice to have

• Design-system awareness (brand consistency, accessibility)
• Experience building analytics/reporting features (charting, data taxonomies, dedup pipelines)
• Comfort coordinating directly with IT/platform teams on access and permissions requests