Senior AI Engineer

About This RoleAI processing…

Key Responsibilities

• 1
  Design and ship end-to-end AI systems, from prototype to production.
• 2
  Build LLM-powered applications (incl. RAG, tool usage, validations) with a focus on reliability and cost-efficiency.
• 3
  Develop and operate agentic AI systems (e.g., planning, tool orchestration, multi-step workflows) with clearly defined safety and integrations into customers’ systems
• 4
  Define evaluation strategies (offline + online), including metrics, benchmarks, and monitoring.
• 5
  Optimize system performance across latency, cost, and quality.
• 6
  Take technical leadership within customer project teams , coordinating architecture, implementation, and iteration cycles.
• 7
  Act as a technical point of contact for customers , explaining trade-offs and guiding solution decisions.
• 8
  Work directly with customers and internal teams to turn ambiguous, real-world problems into concrete AI solutions.
• 9
  Contribute to architectural decisions and support less-experienced engineers through technical guidance (no people management).

Requirements

• Several years (3–6) of hands-on experience building and operating AI/ML systems in real-world projects .
• At least one practical implementation of agentic AI systems , beyond simple chains or demos, ideally in a production or near-production context.
• Strong Python expertise (≈5 years) and experience with modern AI/LLM tooling; framework-agnostic mindset.
• Proven experience with LLM-based systems (e.g., RAG, embeddings, tool usage) and an understanding of trade-offs between quality, cost, latency, and complexity.
• Ability to work independently in customer-facing environments , taking ownership of technical decisions under uncertainty.
• German language skills at C1 level (mandatory) and professional communication skills in customer contexts.
• Residence in Germany and willingness to work in a hybrid model with occasional on-site engagements.

Perks & Benefits