AI-Enabled Software Product Engineer

About Job

As a specialist in electronics and software for the past 20 years, in-tech is a dynamic, fast-growing engineering company headquartered in Munich, Germany employing around 2350 employees globally across 20 project locations in 8 countries.in-tech develops innovative engineering solutions for the automotive, rail, aerospace, defence, and industrial sectors.

We are committed to a flexible, modern work culture and work-life balance. Our colour orange stands for liveliness, warmth, and dynamism. We value a strong team spirit, fresh ideas and a positive work culture. We call it the “Orange Spirit”!

Since 2024, in-tech became a subsidiary of Infosys Ltd. This strategic partnership enables us to offer our customers even more comprehensive development and digitalisation services and a greater offshore capability.

We are looking for an experienced AI-Enabled Software Product Engineer / Senior Engineer / Technical Lead to drive AI-assisted software development and innovation. The role involves hands-on use of AI coding assistants, building LLM-enabled applications, and integrating agentic AI frameworks into enterprise solutions. You will lead efforts in AI-driven code generation, refactoring, testing, and modernization while ensuring secure coding and responsible AI governance. If you are passionate about application support, enjoy working in dynamic environments, and want to contribute to a culture of operational excellence, we would love to hear from you.

Key Responsibilities:

- Perform hands-on AI-assisted software development using tools like GitHub Copilot, Cursor, Claude Code, Amazon Q Developer, or equivalents.

- Engineer prompts and context for requirements analysis, code generation, refactoring, debugging, documentation, and test generation.

- Design and develop LLM-enabled applications using APIs such as Azure OpenAI, OpenAI, Anthropic, or equivalent platforms.

- Implement Retrieval-Augmented Generation (RAG), embeddings, and vector database solutions for enhanced AI capabilities.

- Develop agentic AI applications using frameworks like LangGraph, Semantic Kernel, CrewAI, or similar.

- Manage MCP/agent orchestration and integrate AI agents with enterprise applications and SDLC tools.

- Architect and develop robust API/microservices solutions using REST, event-driven architectures, and cloud-native technologies.

- Implement CI/CD pipelines, containerization, and cloud deployments using Git, Docker, Kubernetes, and Azure/AWS/GCP platforms.

- Lead AI-enabled Quality Engineering (QE) initiatives including unit/test generation, automated testing, defect analysis, and root cause analysis.

- Utilize AI tools for legacy code understanding, modernization, code translation, and refactoring.

- Ensure secure coding practices, AI governance, and adherence to Responsible AI principles.

- Collaborate with cross-functional teams to drive AI innovation and deliver high-quality software products.

Requirements:

- Bachelor’s or master’s degree in computer science, Software Engineering, or related field.

- Proven experience in AI-assisted software development using modern AI coding assistants.

- Strong expertise in prompt engineering and context management for AI-driven code tasks.

- Hands-on experience building LLM-enabled applications with APIs like Azure OpenAI, OpenAI, or Anthropic.

- Working knowledge of RAG, embeddings, and vector databases.

- Experience with agentic AI frameworks such as LangGraph, Semantic Kernel, or CrewAI.

- Understanding of MCP/agent orchestration and integration with enterprise and SDLC tools.

- Strong skills in API/microservices development, REST, event-driven architectures, and cloud-native design.

- Proficiency in CI/CD, containerization, and cloud platforms including Git, Docker, Kubernetes, Azure, AWS, or GCP.

- Experience in AI-enabled Quality Engineering including automated testing and defect analysis.

- Ability to leverage AI for legacy code modernization, translation, and refactoring.

- Knowledge of secure coding practices, AI governance frameworks, and Responsible AI principles.

- Excellent problem-solving, communication, and leadership skills to guide teams and collaborate effectively.

Apply with us

If you have experience and team spirit and are looking for a great place to work, then start your job with us.

As part of our dedication to the diversity of our workforce, in-tech is committed to equal employment opportunity without regard for age, race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion