Senior Clinical AI Engineer
Insight Timer3 months ago
Remote, Australia or Sydney, AustraliaSenior
Responsibilities
- Design, build, and ship production-grade AI agents for meditation, wellbeing, mental health, sleep, anxiety, stress, and behavior change.
- Build agentic workflows that combine technical reliability with clinical and evidence-informed reasoning.
- Integrate AI agents with backend APIs, data systems, content systems, and product surfaces.
- Build evaluation, testing, and monitoring systems for reliability, safety, quality, and continual improvement.
- Design clinical and wellbeing evaluation rubrics for AI outputs, including usefulness, safety, evidence alignment, and risk.
- Identify risks in AI-generated wellbeing outputs and define when systems should answer, seek context, escalate, refuse, or redirect.
- Improve prompts, tools, agent workflows, and retrieval systems based on engineering and clinical/product quality.
- Design modular workflows and data and feedback pipelines to improve AI performance through usage, evaluation, and appropriate fine-tuning.
- Translate AI prototypes into scalable, maintainable product systems and help define standards for safe, evidence-informed AI wellbeing products.
Requirements
- 5+ years of software engineering experience, including production experience with AI agents, LLM-based systems, or AI-powered workflows.
- Strong Python fundamentals and experience building reliable backend systems, APIs, or distributed workflows.
- Hands-on experience with agent frameworks, orchestration tools, evaluation pipelines, prompt engineering, retrieval systems, or LLM application architecture.
- Formal training, research experience, or applied expertise in psychology, medicine, psychiatry, neuroscience, behavioral science, digital health, mental health, meditation, mindfulness, or wellbeing science.
- Strong judgment regarding clinical or wellbeing claims, evidence quality, risk, user vulnerability, and real-world applicability.
- Ability to evaluate AI outputs for technical correctness, safety, clarity, appropriateness, and evidence alignment.
- Ability to translate clinical, psychological, or research concepts into product requirements, prompts, workflows, and engineering decisions.
- Ability to work across engineering, product, research, and clinical domains with a pragmatic, product-minded approach.
Benefits
- Fully remote role, with candidates required to be based in Australia.
- Extra leave days for wellbeing and birthdays.
- Generous learning and development budget and wellbeing bonus.
- Global company retreat every other year.
- Competitive salaries and options are offered.
Tech Stack
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