Lead AI Engineer / Senior AI Engineer

Das ist der Job

You enjoy finding your own way to solve a problem.

Darum lohnt es sich

Our team runs in startup mode with high autonomy, and a real opportunity to influence how advanced AI gets built and scaled in practice. 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.

How You’ll Work Hands‑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 Benefits Collaborative, appreciative, and inspiring team environment with real expertise from tech to transformation Attractive compensation package, including participation in the company’s success Work Structure Location: Hamburg, Germany Working model: Predominantly remote, with one day per week in our Hamburg city‑centre office Travel: Occasional visits to client locations Environment: High autonomy, meaningful impact, and room to grow At AI.IMPACT, we’re building a team of thoughtful, entrepreneurial people with different backgrounds and perspectives.

Because we are building our core team together, it is important to us that you are based in Hamburg and able to work with us in person. #J-18808-Ljbffr 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.

You know what it takes to get AI into production and can navigate ambiguity, technical complexity, and cross‑functional collaboration with confidence. Key Responsibilities 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.

Enterprise architecture integration – Embed AI capabilities into existing cloud‑native architectures, APIs, and data ecosystems, focusing on security, resilience, and scalability in production environments.

Client advisory & solution design – Guide clients in shaping and executing their data, AI, and generative AI strategies from initial architecture decisions through to live deployment. Requirements 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/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. What matters to us is curiosity, empathy, good judgment, and the ambition to create real impact with AI.