My client is seeking a Senior AI Engineer to lead the end-to-end delivery of production-grade, customer-facing AI solutions. You will translate ambiguous real-world requirements into scalable systems, ranging from RAG-based workflows to advanced agentic AI.
German language proficiency (C1+) and residency in Germany are required.
Key Responsibilities
- Full-Lifecycle Engineering: Design, build, and deploy reliable, cost-efficient AI applications from prototype to production.
- Agentic AI: Develop sophisticated systems focused on planning, orchestration, and multi-step workflows.
- Technical Leadership: Serve as the technical lead for customer projects, managing architectural decisions, performance optimization, and evaluation benchmarks.
- Client Advocacy: Act as the primary technical point of contact, guiding customers through trade-offs in quality, latency, and cost.
- Mentorship: Provide technical guidance to the engineering team.
Required Profile
- Experience: 3-6 years in professional AI/ML systems.
- Agentic Expertise: Proven track record of implementing agentic AI in production environments.
- Tech Stack: Strong Python (approx. 5 years) and deep expertise in LLM frameworks, RAG, and vector embeddings.
- Soft Skills: Proven ability to own technical decisions independently and communicate effectively with stakeholders.
- Bonus: Experience with cloud deployment (AWS/Azure) and contributions to open-source or research.
Why Join?
- High Impact: Ownership over AI solutions with real-world, rapid deployment.
- Culture: Fast-paced, expert team with minimal bureaucracy.
- Flexibility: Hybrid working model with a focus on remote freedom.
- Growth: Dedicated learning budget for professional development and conference participation.
