Senior AI/ML Engineer

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%. 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.
• 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.
• Extend our assessment AI to new channels, including the phone.
• 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.
• Raise the engineering bar through architecture, code review and mentorship.

What You’ll Bring

• 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).
• Hands-on experience with a major cloud platform and containerization technologies.
• A track record of end-to-end ownership.
• A genuine interest in applying your technical skills to solve complex challenges in the mental healthcare space.
• North American business hours (Eastern time preferred), with daily overlap with colleagues in Europe.
• Based in Canada with the right to work there.

Benefits & Wellbeing

• Salary: CA$173,000 – CA$192,000 per year.
• Equity share options.
• 25 days PTO.
• Support with purchasing work-related books and materials.
• Quarterly Life Days: Enjoy 4 paid days off per year.
• Mental Health Support: Access to dedicated mental health support services.

We encourage women and individuals from diverse backgrounds to apply and join our team. We believe in creating an inclusive and supportive work environment where everyone can contribute their best.