About Siemens Healthineers

At Siemens Healthineers, we pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Our purpose is to empower healthcare providers with cutting-edge, reliable, and intelligent technologies that improve patient outcomes and make healthcare more accessible. By combining advanced medical devices, intelligent software, and modern engineering practices, we build solutions that address real-world healthcare challenges while ensuring sustainability and long-term impact.

As AI transforms the way software is engineered and experienced, we are looking for AI-Native Software Developers who can leverage AI throughout the software development lifecycle while building secure, scalable, and intelligent healthcare applications.

Role Overview

As an AI-Native Software Developer, you will design, develop, and maintain high-quality software while effectively leveraging AI to accelerate engineering productivity and enhance software capabilities. You will integrate AI-powered services into applications, validate AI-generated outputs, and apply responsible AI principles to deliver reliable, secure, and scalable healthcare solutions.

You will collaborate with cross-functional teams to deliver innovative products while continuously adopting emerging AI technologies and modern engineering practices.

Key Responsibilities

- Analyze business and technical requirements and identify opportunities to incorporate AI capabilities where they add value.

- Design, develop, and maintain secure, scalable, and high-quality software solutions using modern engineering practices.





- Leverage AI-assisted engineering practices to improve productivity while validating AI-generated code, tests, and documentation.

- Integrate AI-powered features, services, or intelligent agents into applications using enterprise AI platforms and context engineering principles.

- Ensure software quality, reliability, and performance through automated testing, continuous delivery, and validation of AI-enabled features.

- Apply secure coding and responsible AI practices to ensure privacy, compliance, and trustworthy AI solutions.

- Collaborate across global teams and continuously adopt emerging technologies to drive engineering excellence.

Qualifications

- Bachelor's or Master's degree in Computer Science/Software Engineering/Information Technology, or related discipline.

- 4–7 years of experience in software development using modern engineering practices.

- Strong understanding of software architecture, object-oriented design, and design patterns.

- Experience developing enterprise-scale cloud-native applications.

Technical Skills

Software Engineering

- C# , .NET / .NET Core

- REST APIs, Microservices

- Angular / React / JavaScript / TypeScript /HTML5 / CSS





Cloud & DevOps

- Microsoft Azure (preferred)

- Docker / Kubernetes

- Azure DevOps, CI/CD pipelines

- Infrastructure as Code (desirable)

AI Engineering

- Experience integrating AI services or Large Language Models into applications.

- Familiarity with AI-assisted software development tools (e.g., GitHub Copilot or equivalent).

- Understanding of context engineering principles for enterprise AI applications.

- Knowledge of Retrieval-Augmented Generation (RAG) concepts and AI orchestration frameworks is desirable.

- Familiarity with AI evaluation, guardrails, and responsible AI practices.

Software Quality

- Test automation

- TDD / BDD

- Secure coding

- Performance optimization

- Observability and monitoring

Behavioral Competencies

- Strong analytical and problem-solving skills.

- Growth mindset with passion for continuous learning.

- Ability to effectively collaborate across global teams.

- Strong communication and stakeholder management skills.

- Ability to balance engineering excellence with rapid innovation.

- Ownership mindset and commitment to delivering customer value.

Preferred Qualifications

- Experience developing healthcare software or regulated products.

- Familiarity with medical device software standards and secure software development practices.

- Exposure to AI agents, workflow automation, or enterprise AI platforms.

- Contributions to open-source projects or developer communities are an advantage.

📌 AI-Native Software Developer (India)
🏢 Siemens Healthineers
📍 India