Senior Clinical AI Engineer

Insight Timer

Sydney

Remote

AUD 150,000 - 190,000

Full time

7 days ago
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Benefits offered by this job

Fully remote, Australia-based
Extra leave days
L&D budget and wellbeing bonus
Global company retreat

Job summary

Insight Timer in Sydney, Australia, seeks a Senior Clinical AI Engineer to build the next generation of intelligent wellbeing experiences at scale. You will work with our Head of AI, backend engineers, product teams, and clinical researchers to design and ship AI-powered experiences that are clinically thoughtful, evidence-informed, and genuinely useful.

This role blends production AI work with clinical reasoning: design robust workflows, evaluate safety and quality, and turn prototypes into

Qualifications

  • 5+ years of software engineering experience.
  • Strong Python fundamentals.
  • Hands-on with agent frameworks and LLMs.
  • Formal training in psychology/medicine or related field.
  • Ability to translate clinical concepts into product requirements.

Responsibilities

  • Design, build, and ship production-grade AI agents for wellbeing.
  • Integrate AI agents with backend APIs and data systems.
  • Develop evaluation, testing, and monitoring for safety and quality.
  • Define clinical wellbeing evaluation rubrics for outputs.
  • Translate research requirements into product designs.
  • Identify risks in AI-generated outputs.
  • Shape internal standards for safe AI wellbeing products.

Skills

Python programming
Backend systems
AI agents
LLM workflows
Prompt engineering

Tools

Agent frameworks
Orchestration tools
Evaluation pipelines
Retrieval systems
LLM architecture

Job description

We're looking for a Senior Clinical AI Engineer to help build the next generation of intelligent wellbeing experiences for Insight Timer, the world's largest meditation and wellness community, with over 30 million users.

This is a rare hybrid role for someone who can both build production-grade AI systems and bring real clinical, psychological, medical, or mental health research judgment to the work. You'll work directly with our Head of AI, backend engineers, product team, and clinical research collaborators to design and ship AI-powered experiences that are technically robust, clinically thoughtful, evidence-informed, and useful for real people.

This is not a pure research, data science, or advisory role. You will be hands-on building agentic AI workflows, integrating with backend systems, designing evaluation and monitoring infrastructure, and helping turn prototypes into reliable product experiences. But unlike a standard AI engineering role, you will also help shape the clinical and wellbeing logic behind those systems: how they reason, what they recommend, what they avoid, when they elevate, and how we evaluate quality and safety.

We're looking for someone who is comfortable moving between code, product, clinical reasoning, and research evidence. You might have a background in software engineering plus psychology, medicine, psychiatry, behavioral science, neuroscience, digital health, mental health research, meditation, mindfulness, or wellbeing science. Or you may be a technically strong clinician or researcher who has built real AI products and workflows.

If you're motivated by the challenge of building safe, reliable, high-impact AI systems for meditation, mental health, and wellbeing at global scale, we'd love to meet you.

About Insight Timer

Imagine a platform which could amplify something as simple as your attendance into deep transformational shifts for humanity. A place where showing up was enough. Where each individual visit combined with millions more to trigger huge waves of health and happiness around the world. What would such a platform look like? Could you even build it? And more importantly, how would you protect it from becoming another Instagram, TikTok or Twitter which magnify the very worst of us.

If we can answer these questions, we believe Insight Timer's community will emerge as one of the most important companies of the 21st century. A place, not a product, which is capable of reversing the modern day health pandemic by harmonising the human spirit before problems arise. And if we get there, well, the opportunities are endless. Imagine a modern-day renaissance where health, belonging and purpose become the new definitions of happiness for hundreds of millions of people around the world, including you.

And all you need to do is show up.

Key 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 clarity, usefulness, safety, evidence alignment, and risk
  • Work with the Head of AI, clinical research team, product, and engineers to translate clinical and research requirements into product and system design
  • Identify risks in AI-generated wellbeing outputs, including unsupported claims, unsafe recommendations, overstatement, inappropriate advice, and poor handling of vulnerable users
  • Improve prompts, tools, agent workflows, and retrieval systems based on both engineering performance and clinical/product quality
  • Architect flexible, modular workflows that make it easy to test, extend, and improve AI capabilities
  • Help define when agentic systems should answer, ask for more context, elevate, refuse, or redirect
  • Design data and feedback pipelines that improve agent performance through real-world usage, evaluation, and, where appropriate, fine-tuning
  • Translate early AI prototypes into scalable, maintainable product systems used by millions of people
  • Help shape Insight Timer's internal standards for building 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 around clinical or wellbeing claims, evidence quality, risk, user vulnerability, and real-world applicability
  • Comfortable evaluating AI outputs not only for technical correctness, but also for safety, clarity, appropriateness, and evidence alignment
  • Able to translate clinical, psychological, or research concepts into product requirements, prompts, workflows, and engineering decisions
  • Comfortable working across engineering, product, research, and clinical domains
  • Pragmatic and product-minded. You know when to move quickly, when to slow down, and when quality or safety needs to come first
  • Motivated by building systems that help millions of people live healthier, calmer, and more meaningful lives
Benefits
  • We offer competitive salaries and options
  • The role is fully remote, but you must be based in Australia
  • Extra leave days are available for your well-being and birthday
  • A generous L&D budget and wellbeing bonus
  • We host a global company retreat every other year
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