Overview
In this Senior AI Engineer role, you will implement AI- and data-driven solutions end-to-end, translating business logic into robust, scalable systems. You collaborate with customers and cross-functional teams to design agentic AI workflows and data pipelines, balancing AI-first delivery with reliability and cost awareness. You will own technical quality, observability, and production readiness, shaping impactful Gen AI applications and data platforms. This hands-on position combines architecture input with practical implementation in a fast-moving, forward-deployed context.
Leistungen / Benefits
- Exciting AI projects with Azure, Databricks, OpenAI
- High-performance culture with impactful work
- Fast learning and career growth with certifications
- Hands-on, innovative company culture
- Strong team collaboration and ecosystem with partners and startups
Verantwortungsbereiche
- Understand and structure business processes, decision logic, and data relationships across domains
- Design and build agentic AI systems including orchestration, tools, and decision logic
- Develop data layers, models, pipelines, and semantic layers; combine agentic and data-driven approaches
- Apply structured LLM orchestration with retries, fallbacks, and guardrails
- Implement core system logic; enable maintainability, observability, and production readiness
- Lead technical domain workshops and solution sessions; collaborate with Engineering Manager, Cloud AI Architect, and QA
- Ensure reliability, security, and cost control in production environments
- Partner with customers at working level and drive shared delivery ownership
Zentrale Anforderungen
- Very senior, hands-on engineer in AI and/or data engineering
- AI-first mindset with good judgment on when not to use an LLM
- Git and CI/CD expertise (Azure DevOps, GitHub, GitLab)
- Production mindset: reliability, observability, security, cost control
- German and English business proficiency
- Experience with structured LLM orchestration and tool calling
- Experience designing multi-agent systems and handling retries, fallbacks, guardrails
- Strong Python skills (FastAPI, async IO, Pydantic) and production APIs
- Clear contract design and integration of multiple external systems
- Strong Azure and Databricks (Lakehouse) experience; Spark and Delta Lake fundamentals
- Enterprise Azure environments (Managed Identity, Key Vault, monitoring, basic networking)
- System thinking: agent orchestration flows, state handling, latency awareness
- Leadership in technical workshops
- Excellent collaboration with customers and cross-functional teams
- Strong communication and problem-solving
- Structured LLM orchestration (tool calling, validated outputs)
- Multi-agent system design (orchestrator + specialized agents)
- Retries, fallbacks, guardrails
Senior AI Engineer (Forward Deployed) (all genders) in Bonn Arbeitgeber: KI challengers
KI Performance ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, in einem hochqualifizierten Team von Ingenieuren, Daten- und KI-Experten zu arbeiten. Mit flexiblen hybriden Arbeitsmodellen, viel Eigenverantwortung und Zugang zu modernen Cloud- und KI-Technologien fördern wir Ihre persönliche Entwicklung durch Schulungsbudgets und Zertifizierungen. Unsere Kultur basiert auf Vertrauen, Autonomie und Zusammenarbeit, was uns zu einem attraktiven Ort macht, um innovative Lösungen zu gestalten und die digitale Transformation voranzutreiben.
