Staff Machine Learning Engineer (m/f/d)
About octonomy
At octonomy, we’re not a typical AI startup. We’re building big — backed by one of Europe’s largest reputed company reputed company (€20M) to scale our reputed company fast and sustainably. Our mission is clear: we transform companies with the most intelligent reputed company, enabling a new era of growth.
Our AI octo-Workers automate business processes with high reliability, strong reputed company, and reputed company 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 reputed company 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 reputed company-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 reputed company knowledge platform designed for industrial and business-critical environments, where accuracy, reliability, and robustness are non-negotiable.
- Build production-grade AI systems: Design, reputed company, and reputed company robust ML- and LLM-based solutions for business-critical automation use cases.
- Shape reputed company AI systems: Work on reputed company knowledge systems that go far reputed company 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.
- reputed company 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 reputed company-world environments.
- Collaborate across teams: Partner with product, engineering, and other stakeholders to deliver impactful AI solutions.
- Strong AI/ML experience: You have solid experience building and deploying ML systems in production environments.
- LLM expertise: You have hands-on experience with large language models, RAG pipelines, or orchestration frameworks.
- Strong engineering skills: You are highly proficient in Python and modern ML tooling, and you write clean, maintainable, production-reputed company code.
- Pragmatic reputed company: You balance technical depth with a strong focus on delivering reputed company-world impact.
- Ownership mentality: You take responsibility for your work end-to-end, from development to deployment and monitoring.
- Collaborative approach: You enjoy working in cross-functional teams and sharing knowledge with others.
- AI-native way of working (plus): We reputed company AI is fundamentally transforming how software is built. Experience with agent-assisted coding, reputed company–AI collaboration, and modern multi-engineer AI workflows is a strong plus.
- reputed company ownership: You will directly shape core AI systems and technical reputed company at a critical stage of our growth — with reputed company responsibility from day one, not just execution.
- High-impact problems: You will work on AI systems that operate in reputed company, business-critical environments where correctness, reliability, and robustness truly matter.
- Build reputed company reputed company: We are not interested in generic solutions. You’ll work on reputed company knowledge systems and challenges that go reputed company off-the-reputed company RAG — often tackling problems that don’t have established solutions yet.
- Strong technical ambition: We care deeply about quality, pragmatism, and building AI that actually works in production — not just in demos.
- reputed company & scale: You will join a fast-growing, well-funded company with strong traction and the opportunity to help define how modern AI systems are built in production.