Senior AI Engineer - @Cori

Cori Clinical is the operating system behind better clinical trials. Cori builds the best-in-class AI platform for the entire trial startup: research, design, authoring, review, and amendments, so the science never waits on the process. Founded in 2025 by Jorn Jansen Schoonhoven (CEO, ex-Amazon, ex-IBM) and Patricio Fernández Weisson (CTO, ex-AstraZeneca, ex-Sanofi), and backed by leading investors.

Why join:

• Help redefine how clinical trials are run using AI, in one of the most important industries in the world,
• Work alongside a small team of exceptional engineers, operators, and clinical experts solving genuinely hard problems,
• High freedom for research and testing, with lots of green fields for your ideas,
• Build systems that don't just automate workflows, they accelerate getting new treatments to patients faster,
• Work directly with leadership and founders.

Values

• High agency,
• Curiosity,
• Creativity,
• Accountability,
• Transparency.

Mission highlights

We are building an AI-guided system that accelerates clinical trials to speeds never seen before. So any organization, large or small, can get medicine to patients faster.

Reporting Line

Patricio, Co-Founder & CTO.

First 3 months

• Ship to production one agentic workflow live with real users, taking a multi-step trial process from chat to completed output,
• Define what "good" means for our AI systems and hold releases to it: accuracy, latency, cost, and failure modes, backed by an eval framework you designed,
• Own the AI architecture decisions: agent framework, evals, model and fine-tuning strategy, build vs buy. You set the direction.

By month 6

• Cori's AI roadmap is yours to shape alongside the founders,
• At least 2 additional workflows have been built and deployed to production,
• Cori's AI strategy (agents, harness, fine-tuning) is defined and the first pieces are in production.

Responsibilities

• Own AI-related technical decisions across the company and products,
• Design and build agent frameworks for complex, multi-step workflows,
• Go beyond RAG: tool use, structured outputs, multi-agent/multi-chain systems,
• Build eval and feedback loops (testing, scoring, iteration),
• Ship reliable, production-grade AI systems (accounting for latency, cost, and failure modes),
• Turn messy clinical processes into deterministic, auditable systems,
• Stay current with and experiment with SOTA technologies in the field.

Competencies

• 5+ years of backend engineering experience, including 1-2+ years building LLM-based systems in production,
• Strong Python backend engineer (FastAPI, infrastructure, data structures),
• Real, hands-on experience with LLMs in complex, agent-based workflows, not just API calls to a foundation model,
• Comfortable guiding decisions on LLM/SLM fine-tuning strategy,
• Track record shipping multi-step/agentic systems to production, not just prototypes,
• Experience with evals, observability, and system reliability practices,
• Solid ML/NLP fundamentals,
• Prior experience in a startup or fast-paced environment strongly preferred,
• Fully fluent in English (mandatory).

Stack: Python, FastAPI, LangGraph, Postgres, Vector DBs, GCP/AWS, Docker

Recruitment process

• Screening with Patricio (Cofounder & CTO),
• Case study,
• Debrief with Cori engineers,
• Final interview with Emma (Chief Clinical Officer) and Jorn (Cofounder & CEO).

Compensation & benefits

• 90-95K (EU) + equity,
• Hybrid 3 days in-office / Barcelona,
• Health insurance,
• Lunch vouchers through Cobee.