AI engineer in mental health

As an AI/ML Engineer, you will sit at the intersection of computational psychiatry, clinical science, and software engineering. You will join the product team building our AI therapist: a voice agent that delivers structured, evidence-based CBT over the phone to adults with depression and anxiety, with licensed clinicians overseeing every patient’s care.

• Improve how our AI therapist runs sessions, from session structure and case formulation to therapeutic techniques and continuity across a course of treatment, working closely with clinicians.
• Strengthen the safety systems that protect patients in real time, including risk detection and how the agent responds when risk is disclosed.
• Build evaluations and LLM-as-judge autolabellers, validated against clinician labels, so we know quickly and reliably whether a change made care better or worse.
• Make voice conversations feel natural: responsive, well-paced, and able to recover gracefully when a conversation goes off script.
• Help patients stay with their treatment long enough to recover, through AI features such as well-timed session reminders and clear expectations about what therapy involves, and test what works with experiments.
• Optimise how we collect outcome measures such as PHQ-9 and GAD-7, including the methods, timing and predictive modelling of recovery.
• Ship changes safely through incremental rollouts, automated testing and a clinical sign-off process built for a regulated medical device.

• A PhD in Computational Psychiatry or a related field, coupled with demonstrated industry experience in Data Science, Product, or ML engineering.
• A BSc/MSc in a Computational Psychiatry related field (research focus) plus 2 years of experience in ML engineering or Data Science within an Engineering/Product Development environment.
• Proficiency in either Python or TypeScript/JavaScript.
• Experience building LLM-powered features and a track record of eval-driven development.
• An expert approach to hypothesis-driven work, with a track record of balancing product development with scientific rigour.
• Experience using Machine Learning in a production environment or via high-impact scientific publications (e.g., predictive modelling, reinforcement learning).
• Experience modelling text/language data, including building LLM classifiers and using vector-based methods.
• Experience modelling longitudinal data and working with databases (SQL or NoSQL).
• A strong understanding of evidence-based mental health care (such as Cognitive Behavioural Therapy) and a deep interest in the causal mechanisms that drive therapeutic benefit.
• A bias to action: you break big problems into pieces you can ship within a week, and you are comfortable making decisions with incomplete information.
• Proficiency with version control systems, preferably Git.
• The ability to work from our London (Spitalfields) office on Tuesdays and Thursdays, with the flexibility to work remotely or from the office on other days of the week.
• Будет плюсом: Ideal but not required: Experience building an LLM agent harness or real-time voice AI

• Competitive salary and equity share options.
• An amazing office in central London (Spitalfields) for our collaborative team days on Tuesdays and Thursdays, paired with a flexible/hybrid working model on Mondays, Wednesdays, and Fridays.
• 25 days PTO plus bank holidays.
• Company pension scheme (UK).
• Enhanced parental leave packages (UK).
• Support with purchasing work-related books and materials.
• Quarterly Life Days: Enjoy 4 paid days off per year (one each quarter) to use whenever you choose to relax, recharge, or take care of personal matters.
• Mental Health Support: Access to dedicated mental health support services.