Senior Clinical AI Engineer

This is a fully remote position, open to applicants in Australia.

📋 Description

• Design, develop, and launch production-grade AI agents focused on meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior modification.

• Create agentic workflows that balance technical reliability with clinical and evidence-based reasoning.

• Connect AI agents with backend APIs, data systems, content platforms, and product interfaces.

• Establish evaluation, testing, and monitoring systems to ensure reliability, safety, quality, and continuous improvement.

• Develop clinical and wellbeing evaluation criteria for AI outputs, assessing factors such as clarity, usefulness, safety, evidence alignment, and risk.

• Collaborate with the Head of AI, clinical research team, product managers, and engineers to convert clinical and research needs into product and system designs.

• Identify potential risks in AI-generated wellbeing outputs, including unsubstantiated claims, unsafe recommendations, exaggerations, inappropriate advice, and poor management of vulnerable users.

• Enhance prompts, tools, agent workflows, and retrieval systems based on engineering performance and clinical/product quality metrics.

• Design adaptable, modular workflows that facilitate testing, extensions, and enhancements of AI capabilities.

• Define scenarios in which agentic systems should respond, seek further context, escalate issues, refuse requests, or redirect users.

• Create data and feedback pipelines that enhance agent performance through real-world usage, evaluation, and, when applicable, fine-tuning.

• Transform early-stage AI prototypes into scalable, maintainable product systems utilized by millions.

• Contribute to establishing Insight Timer’s internal standards for creating safe, evidence-informed AI wellbeing products.

⛳️ Requirements

• A minimum of 5 years in software engineering, including hands-on experience with AI agents, LLM-based systems, or AI-driven workflows.

• Strong foundation in Python and experience in developing reliable backend systems, APIs, or distributed workflows.

• Practical experience with agent frameworks, orchestration tools, evaluation pipelines, prompt engineering, retrieval systems, or LLM application architecture.

• Formal training or practical expertise in psychology, medicine, psychiatry, neuroscience, behavioral science, digital health, mental health, meditation, mindfulness, or wellbeing science.

• Excellent judgment regarding clinical or wellbeing claims, evidence quality, risk assessment, user vulnerability, and real-world applicability.

• Competent in evaluating AI outputs for not just technical accuracy, but also safety, clarity, appropriateness, and evidence alignment.

• Capable of translating clinical, psychological, or research concepts into product requirements, prompts, workflows, and engineering decisions.

• Comfortable collaborating across engineering, product, research, and clinical domains.

• Pragmatic and product-focused, with an understanding of when to expedite processes and when to prioritize quality or safety.

• Driven by the goal of developing systems that assist millions in leading healthier, calmer, and more fulfilling lives.

🏝️ Benefits

• We provide competitive salaries and stock options.

• The position is fully remote, but candidates must be located in Australia.

• Additional leave days are offered for personal well-being and birthdays.

• A generous learning and development budget along with a wellbeing bonus.

• We organize a global company retreat every two years.