Mid Software Engineer - AI (f/m/div.)
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What you'll do
- 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
What they're looking for
- MSc or Ph.D. in Computer Science, Software Engineering or a related field.
- 2+ years of experience in Software Engineering
- 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
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Company Description
The Bosch group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.
Bosch Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people.
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.
Job Description
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 don´t just happen. They are made...
Make it happen! We are looking forward to your application!
Company
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