AI Engineer

Maredan is building the AI infrastructure layer for wealth management.

Our platform brings agentic AI into the workflows of private banks, independent asset managers and banking software providers, turning fragmented financial and client data into actionable advisory output and automated workflows.

We are practitioner-founded and building for an industry where AI has the potential to fundamentally change how financial professionals work.

You will design and build the reasoning layer of our platform: LLM-driven agentic systems that turn complex data and context into reliable, high-quality outputs.

This is a hands-on role with broad ownership across AI, backend and product. You will work closely with the CTO and founders, from early experiments through production deployment.

• Build agentic systems in production. Develop orchestration, context engineering, retrieval and structured extraction pipelines across financial and client data, from concept to deployment.
• Build our evaluation and observability infrastructure. Develop evaluation frameworks, regression suites and tracing to measure reasoning quality and understand how changes affect the system.
• Design for reliability. Test where probabilistic AI meets deterministic logic, identify failure cases and turn them into automated tests.
• Own what you ship. Take responsibility from architecture and implementation through deployment, monitoring and iteration.
• Turn user needs into working systems. Work directly with early users and translate real-world financial workflows into technical solutions.
• Help shape the engineering foundation. Contribute to our architecture, technical roadmap and future engineering team.

• Strong software engineering fundamentals, strong programming and applied data science skills.
• Experience building and deploying LLM-powered applications in production.
• Strong understanding of agentic systems, context engineering and LLM evaluation.
• Cloud deployment experience and operational ownership of production systems.
• Ability to take complex problems from ambiguity to production with a high degree of autonomy.

• Strong product instincts and an eye for UI/UX.
• Experience as an early engineer at a startup or AI-native company.
• Experience building systems where accuracy, traceability and reliability matter.
• AI/ML research, open-source contributions or technical work you can point us to.
• Experience in financial services or another regulated industry.

Competitive salary plus equity participation.

• Swiss or EU/EFTA citizenship, or an existing Swiss work permit required.