Senior AI/ML Engineer, remote in Canada: own the AI that assesses patients for US healthcare providers and gets them to the right mental health care faster.

About Limbic

Limbic’s vision is to ensure the highest quality therapy is accessible to everyone, everywhere.

Limbic has supported more than 820,000 patients across the UK and the US. We are used in over 50% of NHS Talking Therapies services, which makes us the largest-ever deployment of generative AI for direct patient care, and our AI now delivers end-to-end therapy to patients in the US under the supervision of licensed clinicians.

Safety and science come first. We are the only AI mental health chatbot with UKCA Class IIa medical device certification, and the first AI-led mental healthcare company selected for the FDA’s TEMPO pilot. Our results are published in leading scientific journals: in a randomized, double-blind trial published in Nature Medicine, our AI agents scored higher than licensed CBT therapists on a standard measure of therapy skill.

The Role

As a Senior AI/ML Engineer, you will take ownership of the AI in our clinical assessment product for US healthcare organizations. A patient describes what they are struggling with in a conversation with our AI, which gathers their history, administers standard clinical questionnaires such as PHQ-9 and GAD-7, detects risk and recommends a treatment program for the organization’s clinicians to review. Every organization configures it for its own services, so the AI has to be safe and accurate across many clinical setups, not just one.

The approach is proven at scale in the NHS, where it increased referrals from minority groups by 29%, as published in Nature Medicine. You will work in North American hours alongside product, engineering and clinical colleagues, in close collaboration with our ML team in London. Our AI products are built on shared platforms for agents, evaluation and safety, so the systems you design are reused across Limbic.

What You’ll Do

Own the quality of the conversational AI that runs patient assessments, from each step of the conversation to clinical prediction and treatment recommendation.

Improve the safety checks that screen every patient message and AI reply, covering risk, attempts to manipulate the AI, unsafe medical advice and clinically inappropriate responses, so they catch more problems without flagging good replies.

Productionize ML models that optimize product KPIs, including the accuracy of clinical predictions and how quickly patients reach the right care.

Build and maintain evaluation harnesses, simulated patient conversations and labelled transcript review, so every configuration can be tested before a patient sees it.

Extend our assessment AI to new channels, including the phone, so that patients who cannot or will not use a web form still have a way in.

Help turn our clinical AI into composable services that healthcare partners can integrate into their own patient journeys.

Build agents and tooling that automate product development workflows, including reliable testing and customer demos.

Raise the engineering bar through architecture, code review and mentorship, while keeping our AI continuously compliant with strict regulatory requirements.

What You’ll Bring

You must meet one of the following educational and experience backgrounds:

A PhD in computational science or an AI-related field, plus 2 years of experience in an ML engineering role.

OR A BSc/MSc, plus 4 years of experience in an ML engineering role.

Expertise in productizing LLM features and a strong background in eval-driven development.

Expert-level proficiency in Python and TypeScript/JavaScript.

Proven experience building an LLM agent harness.

Experience utilizing reinforcement learning.

Strong architectural skills with experience designing scalable, production-grade systems for machine learning applications.

A solid understanding of statistical principles in the context of LLM evaluation and user activity analytics.

Proficiency with version control systems (preferably Git) and databases (SQL or NoSQL).