Senior AI Engineer
Level inferred from job title
Job description
Senior AI Engineer at Rivia responsible for architecting and shipping production-grade agentic AI workflows for clinical trial intelligence. The role is a key technical contributor embedded in product initiatives, owning AI features end-to-end.
At a glance
- Work mode
- Remote · Zürich, Switzerland
- Languages
- English
What you'll do
- 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 we're looking for
- 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
Your team
AI Engineering
The team designs and operates agentic, production-grade AI workflows that power critical monitoring, data quality, and insight-generation capabilities for clinical trial stakeholders.
How to get hired
- 1Meet and greet: 30-minute call with the HR team to get to know each other. This is an informal chat.
- 2Technical Screening: 60-minute interview to delve into high-level technical concepts and your problem-solving approaches.
- 3Coding Interview: 60 mins with the team to assess your coding skills.
- 4Meet 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.
Apply
Direct apply at Rivia
Opens the job posting at Rivia
About Rivia
A data engine that powers the future of clinical trial intelligence
Rivia is a technology company building a data engine that powers the future of clinical trial intelligence. Rivia unifies clinical trial data at scale through a core engine built as a reusable intelligence layer, comprising hundreds of configurations and trial-specific logic, independent of source structure. This vertical stack of data engine, workflows, and agents creates a distinct advantage in how trials are operated.
Mission
To become the standard infrastructure for modern drug development, transforming how trials are executed end-to-end.
Key facts
- Founded on the belief that new drugs can be brought to market more successfully with a fraction of today's capital
- Over the past two years, European and US based biotechs running global clinical trials on Rivia have demonstrated measurable impact
- In March 2026, Rivia raised its $15M Series A led by Earlybird Venture Capital
What they value
- 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.