Mid Software Engineer AI (fmdiv.)

We are looking for a GenAI Agent Engineer Software Engineering Automation to design
implement and deploy AI agents that support software development workflows. Based on use
cases collected by the GenAI Enablement Specialist you will build GenAI pipelines that interact
with codebases documentation requirements ticket systems and CI/CD data.

You will collaborate with software developers DevOps engineers and platform/tooling teams to
ensure AI agents integrate effectively into daily workflows and deliver reliable and compliant
assistance.

Your contribution to something big: 

• Design and implement AI agents that support coding documentation testing debugging knowledge retrieval requirements reasoning and other developer tasks.
•  Build AI pipelines that combine LLMs embeddings vector databases and software engineering datasets.
• Integrate GenAI agents with developer tools (IDEs Git repos CI/CD ticketing systems documentation hubs).
• Implement RAG pipelines for software knowledge (source code design docs API references test results requirements).
• Develop APIs plugins and automation scripts for workflow integration.
• Evaluate agent performance correctness reliability and usability.
• Document agent architectures pipeline designs and integration patterns.
• Collaborate with platform security and compliance functions to ensure safe deployment

Qualifications :

What distinguishes you:

Education:
MSc or Ph.D. in Computer Science Software Engineering or a related field.

Experience:
2 years of experience in Software Engineering

Profile:

• Strong software engineering background with practical programming experience (Python preferred; other languages welcome)
• Familiarity with LLM integration patterns embeddings vector databases and agent frameworks (e.g. LangChain LlamaIndex OpenAI Agents CrewAI Swarm MCP)
• Experience working with structured and unstructured tech data (source code markdown docs JSON tickets logs)
• Knowledge of developer workflows (Git CI/CD code reviews tickets testing)
• Ability to convert domain or developer requirements into technical AI solutions
• Collaborative mindset working with software teams and platform/tool owners
   
• Nice to have:
• Experience with DevOps IDPs (Internal Developer Platforms) or developer experience (DevEx) initiatives
• Familiarity with MLOps AI observability evaluation or inference optimization
• Exposure to regulated or safety-critical SW (automotive aerospace medical) is a plus
• Experience building plugins APIs developer tools or IDE extensions

Additional Information :

Work #LikeABosch means:

Flexible work conditions

Hybrid work system

Exchange with colleagues around the world

Health insurance and medical office on site

Training opportunities

Opportunities for career progression and continuous professional development

Access to great discounts in partnerships and Bosch products

Sports and health related activities

Great access to public transports

Free parking lot

Canteen

Success stories dont just happen. They are made...

Make it happen! We are looking forward to your application!

Remote Work :

No

Employment Type :

Full-time