At octonomy, we’re not a typical AI startup. We’re building big — backed by one of Europe’s largest seed rounds (€20M) to scale our vision fast and sustainably. Our mission is clear: we transform companies with the most intelligent digital workforce, enabling a new era of growth.
Our AI octo-Workers automate business processes with high reliability, strong security, and zero hallucinations. Leading customers already trust us — and we’re growing rapidly across Germany and internationally.
Your Role
As Senior Machine Learning Engineer (m/f/d), you will design, build, and deploy production-grade AI systems at the intersection of machine learning, large language models, and agentic workflows. This is a highly hands-on role where you take ownership of real-world AI applications and contribute to building scalable, reliable systems that deliver measurable value.
What makes this role unique: we are not building generic RAG pipelines or standard AI features. We are creating a complex knowledge platform designed for industrial and business-critical environments, where accuracy, reliability, and robustness are non-negotiable.
- Build production-grade AI systems: Design, develop, and deploy robust ML- and LLM-based solutions for business-critical automation use cases.
- Shape next-generation AI systems: Work on complex knowledge systems that go far beyond standard RAG setups, with a strong focus on correctness, grounding, and reliability.
- Contribute to system architecture: Collaborate with senior engineers to design scalable architectures across LLM orchestration, retrieval systems, and agentic workflows.
- Bridge research and production: Be part of a team that doesn’t just apply existing solutions, but actively explores and develops new approaches to unsolved problems — and brings them into production.
- Ensure quality and reliability: Implement evaluation frameworks, monitoring, and guardrails to ensure consistent system performance in real-world environments.
- Collaborate across teams: Partner with product, engineering, and other stakeholders to deliver impactful AI solutions.
