
Real job — pulled straight from Rivia Health’s careers page · Verified July 23, 2026 · No reposts.
Job description
Rivia Health is hiring a AI Engineer — a full-time, based in Zurich, Switzerland role. Apply directly on Rivia Health's careers page below.
Senior AI Engineer
Location: Zurich, Switzerland
Department: Product
Location Type: IN_OFFICE
Employment Type: FULL_TIME
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
- Meet and greet: 30-minute call with the HR team to get to know each other. This is an informal chat.
- Technical Screening: 60-minute interview to delve into high-level technical concepts and your problem-solving approaches.
- Coding Interview: 60 mins with the team to assess your coding skills.
- Get-to-know a founder: 30-minute discussion with Tiago, our CTO, to introduce you to Rivia and discuss the role in detail.
- Meet the team: 3-4 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.
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Frequently asked questions
What skills are required for AI Engineer at Rivia Health?
The required skills for AI Engineer at Rivia Health include: Python, LLM, Machine Learning, Data Engineering, Cloud Computing, API, Docker, Kubernetes, SQL, Git.
What is the seniority level for AI Engineer at Rivia Health?
AI Engineer at Rivia Health is a Senior level position.
How do I apply for AI Engineer at Rivia Health?
You can view the full description and apply for AI Engineer at Rivia Health on EchoJobs: https://echojobs.io/job/rivia-ai-senior-ai-engineer-n4y9o.
