Location: Berlin, Germany (Hybrid – 2 days on-site)
The Opportunity My client is a high-growth investment and transformation firm that acquires established businesses and modernises them through advanced AI integration. By leveraging technology to overhaul legacy operations, they turn operational complexity into high-margin product value. They are seeking a Senior Staff Engineer to build and deploy AI systems that drive measurable business impact.
Core Responsibilities Design & Deploy: Build end-to-end AI systems (LLMs, agents, and RAG) to automate complex operational workflows.
Solve Real-World Problems: Partner with internal teams to convert messy, legacy data into production-grade automation that increases throughput and reduces costs.
Pragmatic Engineering: Balance frontier AI capabilities with speed, simplicity, and strict production requirements (latency, cost, and reliability).
Hands-on Development: Work closely with the full stack, utilizing Python to ship scalable, AI-powered solutions.
Key Requirements AI-Native Practice: Deep experience in production AI design, including agentic workflows, model evaluation, and structured outputs.
Proven Impact: A strong track record of shipping software that delivered tangible business or operational outcomes.
Technical Rigor: Expert Python skills; familiarity with Go, TypeScript, and modern vector/ML infrastructure is advantageous.
Product Mindset: Ability to balance technical depth with pragmatic trade-offs regarding accuracy, cost, and user experience.
The Process 4-Stage Interview: A streamlined process focusing on technical ability, product intuition, and team alignment.
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