Lead AI Engineer/Senior AI Engineer
Verfasst am 2026-09-14
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Software Entwicklung
Künstliche Intelligenz Ingenieur, Maschinelles Lernen, Cloud-Ingenieur - Software, Software-Architekt
We're looking for a Senior / Lead AI Engineer with deep generative AI expertise and solid software engineering foundations to help design and build intelligent, multi-agent capabilities for enterprise applications across our client base. Our team runs in startup mode with high autonomy, and a real opportunity to influence how advanced AI gets built and scaled in practice. You know what it takes to get AI into production and can navigate ambiguity, technical complexity, and cross-functional collaboration with confidence.
You enjoy finding your own way to solve a problem.
We're looking for a Senior / Lead AI Engineer with deep generative AI expertise and solid software engineering foundations to help design and build intelligent, multi-agent capabilities for enterprise applications across our client base. Our team runs in startup mode with high autonomy, and a real opportunity to influence how advanced AI gets built and scaled in practice. You know what it takes to get AI into production and can navigate ambiguity, technical complexity, and cross-functional collaboration with confidence.
You enjoy finding your own way to solve a problem.
You can have it all: applied AI, product engineering, and tangible value creation.
Key responsibilities include- AI delivery Conceive and implement AI solutions across both customer-facing product features and internal back-office workflows.
- LLM & RAG system development Design and build LLM-based applications and RAG pipelines, bringing together vector databases, embeddings, and semantic search to produce reliable, context-aware results at scale.
- AI agents for productivity & business automation Create AI-driven agents and automations that simplify and accelerate customer workflows across CRMs, ERPs, ticketing platforms, and other core business systems. Cut down on manual effort, mistakes, and turnaround times.
- Enterprise architecture integration Embed AI capabilities into existing cloud-native architectures, APIs, and data ecosystems, with a focus on security, resilience, and scalability in production environments.
- Cross-functional collaboration Work hand-in-hand with product, engineering, and leadership teams on the client side to translate technical AI capabilities into measurable business outcomes.
- Client advisory & solution design Guide clients in shaping and executing their data, AI, and generative AI strategies. Cover everything from initial architecture decisions and technical direction through to live deployment.
What We're Looking For:
Core experience:
4+ years in software engineering, AI, or solutions roles, with hands-on experience shipping production AI/LLM systems
- 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/Type Script/Java/Kotlin
- AI platforms and developer tooling such as OpenAI, Azure AI, Lang Chain, Llama Index, 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.
How You WorkHands-on, pragmatic, and delivery-focused
- Comfortable working directly with clients and cross-functional stakeholders
- Clear in communication, documentation, and technical decision-making
- Curious about the AI space and motivated to stay close to emerging developments
We are a small team, learning every day about the opportunities and challenges at the forefront of applied AI
Become a part of a highly specialized team and…
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