GenAI Full Stack Developer (C#, AWS, Angular)

Hello Visionary!

At Siemens, we believe businesses thrive when people grow. That’s why we put our people first—empowering them with opportunities, challenges, and continuous learning. Join our global, diverse teams and discover how far your journey can take you.

We’re looking for a Fullstack Developer – C# + Angular with GenAI/Agentic AI (5–10 years) to join our team.

You’ll make a difference by:

Designing and developing scalable, cloud-native applications using C# (.NET Core), Angular, and AWS

Building AI-powered and agentic solutions to enhance engineering productivity and automate development workflows

Developing and integrating LLM-based applications with enterprise systems and APIs

Designing REST APIs and microservices architectures aligned with modern design patterns

Implementing Retrieval-Augmented Generation (RAG) and agentic workflows for software engineering use cases

Leveraging tools and frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, OpenAI Agents SDK, or similar

Building and optimizing solutions using vector databases and semantic search

Developing reusable AI capabilities and productivity tools for broader engineering teams

Contributing to architecture, estimation, planning, and implementation within an Agile (Scrum) environment

Implementing unit, integration, and automated testing, ensuring high-quality, maintainable software

Utilizing GitLab CI, Docker, Kubernetes for continuous integration and deployment

Ensuring clean code, scalability, and long-term maintainability

Driving continuous improvement aligned with Siemens engineering practices

You’ll win us over by:

Education & Experience

B.E. / B.Tech / M.Sc. / MCA in Computer Science / Information Technology (or equivalent)

5–10 years of experience in IT software product development

Strong experience in cloud-native development (AWS) using C# (.NET Core) & Angular

At least 1 year of hands-on experience in GenAI / Agentic AI solutions

Must-Have Skills

Strong object-oriented programming (OOP) skills and ability to translate requirements into scalable solutions

Experience designing REST APIs and microservices

Hands-on experience with agent frameworks such as:

LangChain, LangGraph, CrewAI, Semantic Kernel

OpenAI Agents SDK, GitHub Speckit, BMAD (or similar)

Experience integrating LLMs with enterprise applications and APIs

Solid understanding of RAG (Retrieval-Augmented Generation) architecture

Familiarity with Model Context Protocol (MCP)

Experience implementing tool-calling and workflow orchestration patterns

Hands-on experience with vector databases and semantic search

Experience building agentic workflows and AI-powered developer tools

Familiarity with AI coding assistants like GitHub Copilot, Claude Code, Codex

Experience with Git-based workflows and CI/CD pipelines

Hands-on experience with GitLab CI and Docker

Strong understanding of containerization (Docker, Kubernetes) and AWS cloud

Ability to thoroughly develop and test solutions using structured, object-oriented approaches

Willingness to learn additional tech stacks like Python, Go, or Java

Strong communication skills (written & spoken English)

Ownership mindset with a commitment to quality and engineering excellence

Desirable Skills

Experience with SQL/NoSQL databases, Kafka, or event-driven microservices

Familiarity with evaluation frameworks like Langfuse, RAGAS, DeepEval

Experience with observability platforms such as Langsmith

Working knowledge of AWS Bedrock

Hands-on experience in BDD/TDD, NUnit, NSubstitute

Experience with tools like Cypress, Git, SonarQube

Exposure to Agile practices (Scrum ceremonies, clean code, self-organized teams)

Experience in test-driven development, refactoring, and profiling

Experience working with international and virtual teams

Certification in cloud technologies

Your key responsibilities:

Within the first 3–6 months, you will:

Deliver AI-powered solutions adopted by engineering teams

Reduce effort spent on repetitive software development tasks

Improve engineering productivity through agentic workflows

Establish reusable AI capabilities across multiple teams

Contribute to the organization’s AI transformation roadmap

Ongoing Responsibilities:

Be part of a self-organized, cross-functional Agile team working across global locations

Design and develop complex systems using modern software engineering practices

Continuously deliver increments using Scrum methodology

Ensure system functionality through automated testing and DevOps pipelines

Apply Continuous Quality practices to maintain high standards and long-term maintainability

Participate in estimation, planning, and implementation aligned with timelines and quality commitments

Support integration, testing, and automation across the system lifecycle

Contribute to Configuration Management and Continuous Deployment

Document software design and development outputs to ensure scalability and sustainability

Create a better #TomorrowWithUs!

This role, based in Chennai, is an individual contributor position. You may be required to visit other locations within India and internationally. In return, you'll have the opportunity to work with teams shaping the future.

At Siemens, we are a collection of over 312,000 minds building the future, one day at a time, worldwide. We are dedicated to equality and welcome applications that reflect the diversity of the communities we serve. All employment decisions at Siemens are based on qualifications, merit, and business need.

Bring your curiosity and imagination, and help us shape tomorrow

Find out more about Siemens careers at: www.siemens.com/careers