Head of AI Engineering (f/m/x)

neoshare is looking for a Head of AI Engineering in Berlin to lead its AI function and move a team of around 15 to 20 people into a more production-focused setup. The role centres on building and running the company’s AI platform, improving LLM access, retrieval-augmented generation, and backend integrations, while making sure AI features are reliable, scalable, and suitable for banking use cases. Day to day, this includes hiring and coaching the team, setting working standards, organising specialist sub-teams, planning delivery, and owning the technical direction with the CTO. The advert names experience with LLM gateways, RAG pipelines, model and prompt lifecycle management, evaluation, deployment, rollback, observability, and cost control, along with work on inference performance and security controls. It also mentions collaboration with Java and NestJS teams and use of approaches such as CI/CD, canary and A/B testing, and offline and online evaluation. No specific qualification or years of experience are stated. The advert does not mention language requirements. The role is based in Berlin, and no hybrid or remote setup is specified. It appears suited to someone who can combine hands-on AI platform leadership with team management and operational ownership in a regulated environment.