
Tech Lead (d/f/m) - Data, AI & Platform
Haufe Group3 days ago
Remote, GermanyStaff+
Responsibilities
- Own the overall technical architecture for the data product, services, and platform.
- Set technical direction, align teams and components, and develop the technical roadmap and architectural guardrails.
- Evolve graph-based knowledge models, data pipelines, LLM, RAG, and agentic capabilities for production use.
- Shape stable, scalable APIs and platform services while improving developer experience.
- Embed security, DevOps, and engineering excellence into architecture and development processes.
- Identify technical risks and balance scalability, maintainability, technical quality, and time-to-market.
- Partner with the product Business Owner to align business, product, and technology decisions.
- Coach engineers, facilitate technical decision-making, and strengthen technical ownership and quality.
Requirements
- Extensive experience in demanding software, data, or platform environments and technical responsibility for complex systems.
- Experience providing technical leadership to experienced engineers and driving cross-functional technical decisions to completion.
- Strong understanding of modern architectures for data-intensive applications, APIs, platforms, and common architecture and design patterns.
- Experience with modern cloud and AI technologies, ideally including AWS, Amazon Neptune, TypeScript, Terraform, AWS CDK, LLMs, RAG, LangChain, LangGraph, Langfuse, and AgentCore.
- Hands-on experience with data and/or AI products, ideally including LLMs and generative AI in production.
- Solid understanding of cloud technologies, DevOps, infrastructure as code, and security by design.
- Ability to balance technical excellence and long-term scalability with pragmatism and time-to-market.
- Clear, audience-appropriate communication from engineering teams through senior leadership.
- Proficient English language skills at minimum C1 level.
Benefits
- Hybrid work with flexible working hours.
- Fully remote work is available from anywhere in Germany; the role is also based in Freiburg im Breisgau.
- Wide-ranging training and development opportunities.
- Space and responsibility to contribute and develop in a supportive, diversity-focused workplace.
Tech Stack
Categories
AI ApplicationsData Engineering