Team : Engineering / AI SRE Team
- Reports to : CTO / AI Lead Format : Working Student (16–20h / week) or Internship (3–6 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 aren't 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 AI’s 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 / Node.js .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 don’t 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 AI"—one 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 ilert’s AI strategy in a fast-paced, high-growth environment.We hire for passion and a "builder" mentality. If you have a GitHub repo where you've experimented with LLM agents or a project that connects AI to the real world, we definitely want to see it!
ilert is a SaaS company for alerting, on-call management and status pages and helps companies to operate always-on services and respond faster to incidents.