Working Student Intern AI Product Engineer (fmx)

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!