Team : Engineering / AI SRE Team Reports to : CTO / AI Lead Format : Working Student (1620h / week) or Internship (36 months)
Automate the middle of the night - Build the future of AI-driven SRE
At ilert we are building the next generation of incident management. We arent just sending alerts; we are building Autonomous AI SRE Agents that can investigate analyze and mitigate production issues before a human even wakes up.
We are looking for an AI Product Engineer (Working Student or Intern) who is excited about the intersection of Generative AI and DevOps. This is not a research role in a vacuum - you will be shipping agentic AI features that interact with real-world infrastructure like Kubernetes GitHub and AWS.
Tasks
- Agent Development : Assist in designing agent reasoning loops prompt templates and safety constraints for our AI SRE agents.
- Tool Integration : Help build skills for our agents allowing them to interact with real-world tools like Grafana Prometheus Kubernetes and Cloud APIs .
- End-to-End Features : Work with our engineering team to translate complex SRE workflows into intuitive AI-powered product features.
- Reliability & Safety : Help build guardrails and validation layers (using schemas like Zod or JSON schema) to ensure our AI agents act safely and deterministically.
- Evaluation & Testing : Assist in building evaluation suites and test harnesses to measure how well our agents solve real-world technical incidents.
- Collaboration : Work closely with senior SREs to encode their expert knowledge into the AIs reasoning patterns.
Requirements
Current Student : Enrolled in Computer Science Artificial Intelligence Data Science or a related technical degree.Coding Skills : Strong foundations in Rust or TypeScript / .AI Curiosity : You have experimented with LLMs (OpenAI API LangChain Anthropic etc.) and understand concepts like RAG prompting and agentic workflows.Systems Interest : You have a basic understanding of (or a strong desire to learn) how modern infrastructure works (APIs Docker Cloud services).Product Mindset : You dont just care about the model; you care about how the user interacts with the AI to solve a real problem.Language : Fluent English (our working language).Benefits
Cutting Edge : Work on Agentic AIone of the most exciting frontiers in software engineering right now.Real Responsibility : Your prompts and code will help handle real-world production incidents for thousands of companies.Hybrid Freedom : Experience our beautiful office in Cologne Rheinauhafen (3 days / week) and work from home (2 days / week).Flexibility : We support your academic success with flexible hours during exam seasons.Elite Mentorship : Learn directly from the team building ilerts AI strategy in a fast-paced high-growth environment.We hire for passion and a builder mentality. If you have a GitHub repo where youve experimented with LLM agents or a project that connects AI to the real world we definitely want to see it!
Key Skills
Anti Money Laundering,Access Control System,Catering,Assessment,Communication
Employment Type : Working student
Experience : years
Vacancy : 1