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LimbicSenior AI/ML Engineer
Limbic is seeking a Senior AI/ML Engineer to lead the artificial intelligence systems utilized within clinical assessment products for American healthcare providers. The organization develops generative…
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About This Role
Limbic is seeking a Senior AI/ML Engineer to lead the artificial intelligence systems utilized within clinical assessment products for American healthcare providers. The organization develops generative AI technology designed to expand access to mental health therapy, having supported over 820,000 patients across the UK and the US. Limbic's platform operates in more than half of NHS Talking Therapies services and delivers end-to-end therapy overseen by licensed clinicians. In this position,…
Job Description
Limbic is seeking a Senior AI/ML Engineer to lead the artificial intelligence systems utilized within clinical assessment products for American healthcare providers. The organization develops generative AI technology designed to expand access to mental health therapy, having supported over 820,000 patients across the UK and the US. Limbic's platform operates in more than half of NHS Talking Therapies services and delivers end-to-end therapy overseen by licensed clinicians.
In this position, you will take full responsibility for conversational AI tools that evaluate patient history, administer clinical questionnaires like PHQ-9 and GAD-7, screen for safety risks, and suggest appropriate treatment programs. The work involves productionizing machine learning models, improving automated safety screening, developing testing harnesses, and extending assessment capabilities into new communication mediums such as telephony services. You will collaborate with product, engineering, and clinical teams while maintaining compliance with strict regulatory standards.
Responsibilities
- Manage the overall performance and quality of conversational AI models responsible for patient clinical assessments and treatment recommendations
- Refine automated safety screening mechanisms to detect risk factors, inappropriate advice, and adversarial manipulation attempts without disrupting valid interactions
- Deploy machine learning models into production environments to enhance clinical prediction accuracy and patient care pathways
- Develop and maintain evaluation frameworks, simulated dialogues, and transcript reviews for pre-deployment testing
- Expand assessment functionalities into alternative channels including real-time voice applications
- Design composable services that healthcare partners can embed within their respective patient journeys
- Build tools and agent frameworks to streamline internal product development and automate testing workflows
Requirements
- Hold either a PhD in an AI-related field or computational science alongside two years of machine learning engineering experience, or a Bachelor's or Master's degree alongside four years of machine learning engineering experience
- Demonstrate expertise in deploying large language model features and utilizing evaluation-driven development methodologies
- Possess expert-level coding proficiency in Python, TypeScript, and JavaScript
- Show proven practical experience constructing large language model agent harnesses and applying reinforcement learning
- Exhibit solid architectural design abilities for scalable, production-grade machine learning systems
- Understand statistical principles related to user analytics and large language model evaluations
- Maintain proficiency with databases such as SQL or NoSQL, version control tools like Git, containerization technologies, and major cloud platforms
- Be based in Canada with legal authorization to work in the country
- Maintain availability during North American business hours with a preference for Eastern time, while holding daily overlap with European colleagues
Qualifications
- Prior hands-on experience working with real-time voice artificial intelligence
- Past experience working directly with healthcare organization customers
Core Skills
Benefits
- Annual salary ranging from CAD 173,000 to 192,000
- Equity share options
- 25 days of paid time off
- Support funding for work-related books and learning materials
- Four quarterly Life Days per year for personal rest and handling matters
- Access to specialized mental health support services
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote policy for this role?
The position is based in Canada with requirements to work during North American business hours, preferably Eastern time, while overlapping daily with European team members. The posting does not specify a hybrid or remote designation.
What is the salary range for the Senior AI/ML Engineer position?
The role offers a yearly salary between CAD 173,000 and CAD 192,000, alongside equity share options.
Does Limbic offer visa sponsorship for this job?
No, Limbic cannot provide visa sponsorship for candidates in Canada.
What educational and background criteria are required?
Applicants must meet one of two educational tracks: either a PhD in computational science or an AI-related discipline with two years of ML engineering experience, or a BSc/MSc degree with four years of ML engineering experience.
Sample Interview Questions
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