What excites you

• Being part of a collaborative startup where you can make a direct impact on the product, the business, and the team.
• Working in a fast-paced environment where you can leverage your AI engineering expertise to solve complex, real-world problems in clinical trials.
• Building AI systems that customers rely on for critical decisions, where trust, traceability, and auditability are essential.
• Owning outcomes end-to-end, driving clarity, momentum, and quality without heavy oversight, and continuously learning and experimenting in the rapidly evolving LLM landscape.

Responsibilities

• Architect and ship production-grade agentic AI workflows, including tool use, orchestration, planning, memory, and structured outputs, for clinical trial intelligence use cases.
• Translate user workflows and product requirements into pragmatic, measurable AI solutions that work reliably in production and optimize for user and business value.
• Design and maintain evaluation pipelines, including gold sets, metrics, and experiments, and use them to drive iteration with rigor.
• Implement robust LLMOps practices, including tracing, monitoring, cost and latency management, safe deployment, and continuous improvement of AI systems in production.
• Design high-quality retrieval and context pipelines with strong guarantees on correctness, provenance, and auditability, particularly in regulated environments such as clinical trials.
• Collaborate closely with Engineering, Product, Design, Sales, and Customer teams to ensure AI features are usable, trusted, and commercially impactful.
• Stay deeply current with the LLM ecosystem, actively experiment with new models and tools, and translate innovation into practical product advantage.

What Excites us

• Product mindset, with a demonstrated ability to translate user workflows into pragmatic, measurable AI solutions that work reliably in production
• Deep familiarity with the current LLM ecosystem and active experimentation with new models, tools, and techniques.
• Proven experience building and shipping production-grade AI or agentic systems, ideally in high-stakes or complex domains.
• Strong software engineering skills and comfort owning systems end-to-end, from design to deployment and maintenance.
• Experience going from 0→1 at a VC-backed startup or similarly fast-paced environment.

Hiring Process

1. Meet and greet: 30-minute call with the HR team to get to know each other. This is an informal chat.
2. Technical Interview I: 60-minute interview to delve into high-level technical concepts and your problem-solving approaches.
3. Technical Interview II: Start with a 60-minute discussion with Tiago, our CTO, to introduce you to Rivia and discuss the role in detail.
4. Meet the team: 2-3 hours. Join us at our Zürich office for a visit that includes a team lunch and an in-depth technical interview to explore our mutual fit.

Our Values

• In it to Win it: Approach every challenge with determination, resilience, and a drive, aiming for the best outcomes and solutions.
• Embrace change: We see change as an opportunity for growth, innovation, and improvement, continuously evolving to stay one step ahead
• Why not?: Asking why not, instead of why, allows us to show our curiosity, allowing us to challenge assumptions and explore new possibilities.
• Find the gap: We are curious and we proactively approach identifying opportunities and solving problems before they arise.
• Collective accountability: We are one team, on one mission and we are committed to shared responsibilities and mutual support, enabling trust and collaboration.
• Value add solutions: Know better. Act better. We are dedicated to delivering meaningful and impactful results.