Senior AI Engineer

ppRivia is a technology company building a data engine that powers the future of clinical trial intelligence. Rivia was founded on the belief that new drugs can be brought to market more successfully with a fraction of today's capital. /p pBiotechs are the source of most therapeutic innovation, yet clinical development is constantly constrained by fragmented data and outdated tooling. 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. /p pOver the past two years, European and US based biotechs running global clinical trials on Rivia have demonstrated measurable impact, from earlier understanding of therapeutic potential to significantly more efficient trial execution.

In March 2026, Rivia raised its $15M Series A led by Earlybird Venture Capital. /p pRivia’s ambition is to become the standard infrastructure for modern drug development, transforming how trials are executed end-to-end. /p h3About AI Engineering at Rivia /h3 pGiven the highly complex nature of clinical trials and how they interface with our technology, the AI Engineering team at Rivia is pivotal in ensuring our clients achieve their desired outcomes and derive maximum value from our platform. /p pThe team designs and operates agentic, production-grade AI workflows that power critical monitoring, data quality, and insight-generation capabilities for clinical trial stakeholders. /p pBy building reliable, auditable, and scalable AI systems, AI Engineering helps transform fragmented clinical data into actionable intelligence and positions Rivia as the AI-first platform for clinical trial

intelligence. /p h3The Role /h3 pAs a Senior AI Engineer at Rivia, you will architect and ship high-impact AI workflows that materially improve how clinical trial teams monitor studies, assess data quality, and make operational decisions. /p pYou will work as a key technical contributor embedded in product initiatives, owning AI features end-to-end from design and evaluation through to deployment, observability, and continuous improvement. /p pThe ideal candidate is a product-minded engineer who combines deep LLM and agentic systems expertise with strong software engineering skills, a bias to action, and a passion for turning cutting-edge AI into reliable, commercially impactful products in a complex, regulated domain. /p h3Working Model: /h3 pThis role is based on-site in our Zürich office /p h3What excites you /h3 ul liBeing part of a collaborative startup where you can make a direct

impact on the product, the business, and the team. /li liWorking in a fast-paced environment where you can leverage your AI engineering expertise to solve complex, real-world problems in clinical trials. /li liBuilding AI systems that customers rely on for critical decisions, where trust, traceability, and auditability are essential. /li liOwning outcomes end-to-end, driving clarity, momentum, and quality without heavy oversight, and continuously learning and experimenting in the rapidly evolving LLM landscape. /li /ul h3Responsibilities /h3 ul liArchitect and ship production-grade agentic AI workflows, including tool use, orchestration, planning, memory, and structured outputs, for clinical trial intelligence use cases. /li liTranslate user workflows and product requirements into pragmatic, measurable AI solutions that work reliably in production and optimize for user and business

value. /li liDesign and maintain evaluation pipelines, including gold sets, metrics, and experiments, and use them to drive iteration with rigor. /li liImplement robust LLMOps practices, including tracing, monitoring, cost and latency management, safe deployment, and continuous improvement of AI systems in production. /li liDesign high-quality retrieval and context pipelines with strong guarantees on correctness, provenance, and auditability, particularly in regulated environments such as clinical trials. /li liCollaborate closely with Engineering, Product, Design, Sales, and Customer teams to ensure AI features are usable, trusted, and commercially impactful. /li liStay deeply current with the LLM ecosystem, actively experiment with new models and tools, and translate innovation into practical product advantage. /li /ul h3What Excites us /h3 ul liProduct mindset, with a demonstrated

ability to translate user workflows into pragmatic, measurable AI solutions that work reliably in production /li liDeep familiarity with the current LLM ecosystem and active experimentation with new models, tools, and techniques. /li liProven experience building and shipping production-grade AI or agentic systems, ideally in high-stakes or complex domains. /li liStrong software engineering skills and comfort owning systems end-to-end, from design to deployment and maintenance. /li liExperience going from 0→1 at a VC-backed startup or similarly fast-paced environment. /li /ul pOur hiring process takes 2-4 weeks over four distinct stages: /p ul liMeet and greet: 30-minute call with the HR team to get to know each other.

This is an informal chat. /li liTechnical Screening: 60-minute interview to delve into high-level technical concepts and your problem-solving approaches. /li liCoding Interview: 60 mins with the team to assess your coding skills. /li liGet-to-know a founder: 30-minute discussion with Tiago, our CTO, to introduce you to Rivia and discuss the role in detail. /li liMeet 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. /li /ul h3Our Values /h3 pAt Rivia, we are committed to excellence, continuous learning, and the success of both our customers and our team.

If you are driven to exceed targets, eager to shape the future of clinical trials, and passionate about making a meaningful difference in the biotech industry, Rivia is the place for you. /p ul libIn it to Win it: /b Approach every challenge with determination, resilience, and a drive, aiming for the best outcomes and solutions. /li libEmbrace change: /bWe see change as an opportunity for growth, innovation, and improvement, continuously evolving to stay one step ahead /li libWhy not?: /bAsking why not, instead of why, allows us to show our curiosity, allowing us to challenge assumptions and explore new possibilities. /li libFind the gap: /b We are curious and we proactively approach identifying opportunities and solving problems before they arise. /li libCollective accountability: /b We are one team, on one mission and we are committed to shared responsibilities and mutual support,

enabling trust and collaboration. /li libValue add solutions: /bKnow better. Act better. We are dedicated to delivering meaningful and impactful results. /li /ul /p