Senior AI Engineer

Join to apply for the Senior AI Engineer role at Tucuvi.

Tucuvi is the global leader in clinical Conversational AI in healthcare.

Our mission is to enable efficient and effective care for all, starting with AI-led phone consultations that augment care teams' capacity. Our safe and medical-grade AI autonomously conducts low-risk clinical calls, streamlining caseload, augmenting patient reach, and improving patient outcomes.

We’re growing fast, and so are our AI capabilities. We’re looking for a Senior AI Engineer who’s ready to get their hands dirty : experimenting, shipping, and iterating in an environment where reliability, scalability, and regulatory compliance are non-negotiable.

What You’ll Do

Your mission will be to design and develop scalable Generative AI solutions that are reliable, safe, and aligned with real-world clinical environments.

You’ll work in the AI team, collaborating closely with engineering, product, and compliance to ensure that what we build is not only powerful but also safe and clinically meaningful.

Responsibilities

• Design and develop scalable GenAI systems, ensuring they meet the performance, safety, and reliability requirements of clinical environments.
• Lead efforts in fine-tuning models, implementing advanced prompting strategies, and developing domain-specific solutions.
• Build infrastructure to support scalable experimentation, evaluation, and deployment of GenAI applications.
• Collaborate with engineering and product teams to integrate GenAI into existing systems.
• Establish best practices for model evaluation, safety, and performance.
• Contribute to the development of robust processes for data collection, model retraining, and monitoring.
• Work closely with cross-functional teams, ensuring that our AI solutions align with the needs of clinical teams, patients, and healthcare providers.

Requirements

• Demonstrated experience shipping Generative AI-based software products into production environments.
• Advanced experience in prompt engineering.
• Hands-on experience fine-tuning LLMs using open-source tools and libraries.
• Deep understanding of AI infrastructure components.
• Familiarity with modern orchestration frameworks.
• Experience working with containerized environments, CI / CD, and performance optimization at scale.
• Strong Python engineering skills and familiarity with backend systems integration.
• Fluent in both Spanish and English.
• Location : Based in Spain.

Bonus

• Prior experience in healthcare AI or regulated environments.
• Familiarity with tools for evaluating model safety, clinical reliability, and hallucination mitigation.

What We Offer

• Fix and variable salary with flexible benefits.
• Remote work in an async environment.
• Team buildings three times per year.
• 23 days per year + your birthday + 6 local and regional holidays.
• Budget for training and personal development.
• A laptop (Mac or Linux) + the equipment that you need.
• Join a team of good and ambitious people where you can create a real impact on people's lives.

If you’re interested in the position but don’t meet all the requirements, get in touch with us :

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