Tortus AI LTD is looking for a talented engineer to focus on integrating AI models into healthcare solutions. In this high-leverage role, you will design and build product features while ensuring the reliability and quality of AI outputs. Responsibilities include working with LLMs, developing validation frameworks, and collaborating with AI research teams. The position is based in Greater London with a hybrid office culture and offers 28 days of holiday plus bank holidays.
08/05/2026
Full time
Tortus AI LTD is looking for a talented engineer to focus on integrating AI models into healthcare solutions. In this high-leverage role, you will design and build product features while ensuring the reliability and quality of AI outputs. Responsibilities include working with LLMs, developing validation frameworks, and collaborating with AI research teams. The position is based in Greater London with a hybrid office culture and offers 28 days of holiday plus bank holidays.
About TORTUS AI At TORTUS we work with clinicians and hospitals to provide clinically safe and reliable AI. We use speech-to-text and LLM models to infer information about a patient visit and provide verified documentation and actions - eliminating the documentation burden that costs clinicians hours every day. We've recorded over 1 million consultations. Clients include London Ambulance Service and a large proportion of UK GP surgeries. We are now entering our next phase: an AI doctor product and a £30M Series A raise. About the role Same generalist full-stack profile as our Full-stack Engineer role, but with a higher and more specific bar around AI integration. We are not looking for engineers who have called an LLM API. We are looking for engineers who have thought deeply about what it means to build reliably on top of probabilistic systems. What you'll do Everything in the Full-stack Engineer role Design and build product features integrating deeply with LLMs in production Build defensively against hallucinations, output instability, and distribution shift Contribute to approaches for validating AI output quality in multilingual contexts - e.g. validating medical notes generated in a language other than English Work with our AI research team to implement architectures and enhancements they propose What we're looking for All of the Full-stack Engineer profile, plus: Production experience building systems integrating with LLMs - well beyond API integration Strong intuition for failure modes of non-deterministic systems: output validation, fallback strategies, confidence thresholds, human in the loop design Ability to reason about AI quality in adversarial or ambiguous conditions Familiarity with prompt engineering, RAG, fine tuning, or LLM evaluation frameworks Nice to have Experience in clinical AI or high stakes AI domains Exposure to AI safety concepts applied in production Contributed to internal AI evaluation or red teaming exercises What does wild success look like? In 12-18 months, you are the go to person when the team hits a hard problem at the LLM integration layer. You have built evaluation pipelines that give the team confidence in what we ship. The Principal AI Researcher seeks you out as the translation layer between research ideas and production reality. Where does this role take you? This is one of the highest leverage engineering roles at TORTUS as AI becomes central to everything we build. You could grow into a staff engineer role specialising in AI systems, or move toward technical leadership of the Lifeboat squad as it scales. Our stack GCP GKE Terraform GitOps & ArgoCD PostgreSQL + Redis TypeScript across the stack (React, NestJS) Python/FastAPI for ML workloads Pub/Sub for events Self hosted ML models What we offer 28 days holiday + bank holidays Latest MacBook and the right equipment Office first culture based at Holborn Town Hall - typically Tuesday, Wednesday, Thursday in office; Monday and Friday flexible The chance to genuinely transform healthcare
08/05/2026
Full time
About TORTUS AI At TORTUS we work with clinicians and hospitals to provide clinically safe and reliable AI. We use speech-to-text and LLM models to infer information about a patient visit and provide verified documentation and actions - eliminating the documentation burden that costs clinicians hours every day. We've recorded over 1 million consultations. Clients include London Ambulance Service and a large proportion of UK GP surgeries. We are now entering our next phase: an AI doctor product and a £30M Series A raise. About the role Same generalist full-stack profile as our Full-stack Engineer role, but with a higher and more specific bar around AI integration. We are not looking for engineers who have called an LLM API. We are looking for engineers who have thought deeply about what it means to build reliably on top of probabilistic systems. What you'll do Everything in the Full-stack Engineer role Design and build product features integrating deeply with LLMs in production Build defensively against hallucinations, output instability, and distribution shift Contribute to approaches for validating AI output quality in multilingual contexts - e.g. validating medical notes generated in a language other than English Work with our AI research team to implement architectures and enhancements they propose What we're looking for All of the Full-stack Engineer profile, plus: Production experience building systems integrating with LLMs - well beyond API integration Strong intuition for failure modes of non-deterministic systems: output validation, fallback strategies, confidence thresholds, human in the loop design Ability to reason about AI quality in adversarial or ambiguous conditions Familiarity with prompt engineering, RAG, fine tuning, or LLM evaluation frameworks Nice to have Experience in clinical AI or high stakes AI domains Exposure to AI safety concepts applied in production Contributed to internal AI evaluation or red teaming exercises What does wild success look like? In 12-18 months, you are the go to person when the team hits a hard problem at the LLM integration layer. You have built evaluation pipelines that give the team confidence in what we ship. The Principal AI Researcher seeks you out as the translation layer between research ideas and production reality. Where does this role take you? This is one of the highest leverage engineering roles at TORTUS as AI becomes central to everything we build. You could grow into a staff engineer role specialising in AI systems, or move toward technical leadership of the Lifeboat squad as it scales. Our stack GCP GKE Terraform GitOps & ArgoCD PostgreSQL + Redis TypeScript across the stack (React, NestJS) Python/FastAPI for ML workloads Pub/Sub for events Self hosted ML models What we offer 28 days holiday + bank holidays Latest MacBook and the right equipment Office first culture based at Holborn Town Hall - typically Tuesday, Wednesday, Thursday in office; Monday and Friday flexible The chance to genuinely transform healthcare