AI Engineer focused on developing agentic AI systems for professional slide creation at a growing startup. Responsibilities include building workflows and collaborating with product and engineering teams.
About the role
- Lead AI Engineer designing and building multi-agent capabilities for enterprise applications at AI.IMPACT in Hamburg, Germany. Requires deep generative AI expertise and strong software engineering foundations.
Responsibilities
- Conceive and implement AI solutions across both customer-facing product features and internal back-office workflows
- Design and build LLM-based applications and RAG pipelines
- Create AI-driven agents and automations that simplify and accelerate customer workflows across CRMs, ERPs, ticketing platforms, and other core business systems
- Embed AI capabilities into existing cloud-native architectures, APIs, and data ecosystems, with a focus on security, resilience, and scalability in production environments
- Work hand-in-hand with product, engineering, and leadership teams on the client side to translate technical AI capabilities into measurable business outcomes
- Guide clients in shaping and executing their data, AI, and generative AI strategies.
Requirements
- 4+ years in software engineering, AI, or solutions roles, with hands-on experience shipping production AI/LLM systems
- Practical expertise across: LLMs, prompt engineering, and retrieval-augmented generation
- Agentic systems, multi-agent orchestration, and complex workflow automation
- Vector search technologies and semantic retrieval
- Python as a primary language, plus proficiency in at least one of JavaScript/TypeScript/Java/Kotlin
- AI platforms and developer tooling such as OpenAI, Azure AI, LangChain, LlamaIndex, Pinecone, or Weaviate
- Cloud infrastructure (Azure, AWS) and delivery practices including Docker, Kubernetes, and CI/CD pipelines
- Solid background in SaaS and enterprise software engineering settings.
- Strong verbal and written communication skills in German and English.
Benefits
- An attractive compensation package, including participation in the company’s success
- A collaborative, appreciative, and inspiring team environment with real expertise from tech to transformation
- High autonomy, meaningful impact, and room to grow
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