Lead AI Engineer
Stax - Deep Tech Talent · Berlin, Germany
قدّم وتابع مع أبلاي إيدجAbout the companyOur client is building the next generation of procurement intelligence technology. Their platform equips procurement teams and category managers to make faster, smarter decisions through deep supplier insight, precise price benchmarking, and tailored negotiation guidance.They are already deployed with enterprise customers and delivering meaningful commercial impact. With a technically ambitious roadmap ahead, this is a rare opportunity to help build foundational systems and push into new areas including autonomous agents, real-time supplier reasoning, and evaluation at scale.Role overviewAs a senior engineer, you will help design and build the systems that power multi-agent intelligence, real-time data processing, and integration with client workflows. You will work closely with product leads and client stakeholders to deliver production-grade capabilities that drive measurable outcomes.What you will do• Architect and implement agent-orchestration frameworks enabling multi-agent collaboration and resilient workflows• Build automated evaluation loops to track quality, safety, and performance of AI agents• Develop streaming and batch pipelines to ingest and normalise supplier data at scale• Integrate deeply with client ERP and procurement systems to ensure insights drive real business action• Partner directly with end users, iterate rapidly with procurement stakeholders, and incorporate feedback into the product• Own architectural decisions related to performance, reliability, security, and complianceRequired qualifications• Strong full-stack engineering background, comfortable working across front-end, back-end, and system boundaries• Expertise with TypeScript and Python, including modern web frameworks (e.g., Next.js)• Experience with contemporary product tooling (for example: TanStack Query, Tailwind, Vercel or equivalents)• Practical experience working with LLMs and related ecosystems (retrieval, embeddings, inference optimisation)• Familiarity with agent orchestration, evaluation, and monitoring in production environmentsNice-to-have• Procurement, supply chain, or ERP systems exposure• Experience in enterprise integrations or data-rich workflow softwareWhy this role mattersThe successful hire will be instrumental in shaping the platform’s technical trajectory during a phase of rapid advancement, where engineering decisions have long-term impact on reliability, scale, and customer value.Please be advised that, owing to the expected volume of applications, we may only be able to contact candidates selected for further consideration