Senior Machine Learning Engineer at develop
develop is hiring for a full-time data role in Berlin, Germany. Review the role details, skills, seniority, and company links before applying.
Role details
About this role
Senior ML/AI Staff Engineer
Location: Berlin, Germany (Hybrid – 2 days on-site)
Language: English
Salary: €100,000 – €150,000
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.
If this sounds interesting and you would like to learn more, please apply and or reach out to me on LinkedIn and we can set up a call!