AI Engineer developing innovative systems for a fintech healthcare company. Join a pioneering team driving AI solutions in a collaborative environment.
Responsibilities
embrace a fast-paced, agile environment where outcome and quick progress is achieved through experimentation and rapid iteration.
architect and lead the development of backend-first agentic services combining LLM services with tool use/retrieval, ReAct and Knowledge Graphs - defining technical strategy, standards, and best practices across the AI division.
design and evolve our retrieval & knowledge infrastructure (embeddings, vector stores, metadata schemas, glossary, memories) ensuring accuracy, performance, and scalability across diverse use cases.
define and champion production excellence: establishing standards for tracing, observability, reliability patterns, prompt/version control, experimentation frameworks, and deployment strategies.
mentor engineers, conduct technical reviews, and elevate the team's capabilities through knowledge sharing and best practices.
drive technical discovery, evaluate emerging AI technologies, and make strategic build vs. buy decisions.
partner closely with product and business stakeholders to translate complex technical considerations into product strategy and roadmap decisions.
Requirements
technical leadership mindset with high agency and proactive drive—obsessed with building world-class systems and enabling teams to ship exceptional user experiences.
8+ years building and operating backend systems in production (strong Python skills required - ideal as well: TypeScript for integration work), with 3+ years shipping LLM/GenAI features to users (RAG, tool use, planning, agent frameworks e.g MCP, multi-agent systems).
strong ML fundamentals with hands-on experience in model evaluation, self-evolving agents (e.g Memory).
deep expertise in distributed systems design: API architecture, data modeling, high-throughput async systems, event-driven architectures, caching strategies, and performance optimization.
proven track record of technical leadership: driving architecture decisions, mentoring engineers, and establishing engineering best practices.
experience with cloud native development at scale, ideally AWS, but GCP is a strong plus, too.
excellent communication skills in English with ability to articulate complex technical concepts to diverse audiences.
Bonus skills:
Experience with modern data workflow orchestration frameworks such as Dagster, Airflow, or Prefect, with emphasis on building robust, dependency-aware pipelines at scale.
Track record of technical writing, open-source contributions, or speaking at industry events.
Fluent German is a big plus, to improve the interaction between you and our user base.
Benefits
Move your way: BVG ticket or a Swapfiets membership to cruise through the city
Stay active: Urban Sports membership to sweat, stretch, or sauna your way through the week
Gear up: Top-of-the-line equipment that actually makes work feel smooth
Work your style: Flexible hours and a hybrid setup in the heart of Berlin-Mitte
Change of scenery? Enjoy up to 4 weeks of workation wherever inspiration hits
Grow fast: A dynamic environment, a steep learning curve, and endless opportunities to level up
Join the ride: Be part of an AI-powered fintech that’s shaking up the German healthcare market
Own it: Real responsibility, independent work, and plenty of freedom to make an impact
Office vibes: A cozy, dog-friendly office where good vibes are basically mandatory
Snack heaven: A fridge full of cold drinks and snacks waiting to be claimed
AI Architect designing and implementing scalable platforms for GenAI use cases at BMW TechWorks Romania. Leading engineering teams and ensuring operational stability of production components.
Software Engineer focused on AI infrastructure for developing agentic products. Collaborating with teams to build advanced AI solutions for the legal industry.
AI Engineer developing AI - driven products to support underwriting and risk management at Swiss Re. Join a diverse team and enhance your expertise while solving complex risk challenges in reinsurance.
Senior AI Architect at Inogen defining and leading enterprise AI architecture across predictive, generative, and agentic AI systems. Shaping AI capabilities within commercial and operational platforms.
AI Engineer developing AI solutions and leveraging machine learning for a global telecommunications leader. Engaging in large - scale AI initiatives to improve network operations through intelligent automation.
AI Lead Engineer establishing AI Center of Competence at Hitachi Energy. Focusing on AI solutions development and engineering productivity improvements in multiple disciplines.
AI Lead driving the digital transformation strategy for Daimler Buses across all business areas. Coordinating cross - functional teams and ensuring alignment with corporate goals.
Product Manager responsible for AI platform development and management at U.S. Bank. Collaborating with engineering and stakeholder teams to drive product vision and roadmap.
SVP AI Engineering leading enterprise AI engineering strategy and solutions for Sedgwick's global operations. Driving technical excellence and operational discipline in claims and risk management.
AI Engineer at Valsoft Corp. designing and deploying machine learning solutions for product enhancement. Collaborating with teams to implement scalable AI features and optimize performance.