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Senior AI Engineer

Cosuno · Berlin, Germany

External listingfull-time24 days ago

About The Role

Join Cosuno's AI team as a Senior AI Engineer, where you will build intelligent systems at the core of our platform. You will be responsible for AI agent development, end-to-end product integration, ranking and retrieval systems, price prediction models, experimentation and evaluation, cross-team collaboration, and maintaining production ML and AI. Enjoy benefits such as flexible working hours, modern work equipment, company offsites, and the option to work remotely or from our Berlin office.

  • Entwicklung und Verbesserung des agentischen Systems, das mehrstufiges Denken orchestriert, um den komplexen Ausschreibungsworkflow zu navigieren.
  • Verantwortung für die End-to-End-Integration von Funktionen, einschließlich Modell/Agent, API und Front-End.
  • Iterieren an den Ranking- und Retrieval-Systemen, die das Matching von Subunternehmern und die Marktplatzsuche unterstützen.
  • Sharp problem solver: You look at a complex system, quickly identify what matters, and decide what to do next
  • Bias for action: When you're unsure something will work, your instinct is to find out with data rather than keep wondering
  • Backend engineering skills: You design APIs, data pipelines, and services
  • TypeScript, React, Node: Non-negotiable. You're comfortable shipping into our web app end-to-end — front-end, backend service, API
  • Strong Python: You have 5+ years writing production-grade Python. You write clean, well-structured code
  • End-to-end product delivery: You've shipped features (not just models) into a production web app and owned the integration from research code to real users
  • Product mindset: You're comfortable with ambiguity and can judge when something is good enough to ship
  • LLM application depth: You have deep hands-on experience building and deploying LLM/agent systems — RAG, tool use, multi-step reasoning, evals
  • Experience building search/ranking/recommendation or price prediction systems
  • Comfort with 'classical' ML foundations

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