Insight Timer
Technology
SeniorClinicalAIEngineer
“Senior Clinical AI Engineer at Insight Timer. Skills: Clinical AI, Agentic workflows, Wellbeing AI, Evidence-informed AI. Design AI agents. Build AI agents”
What You'll Achieve.
Build production-grade AI agents; Build agentic workflows; Integrate AI agents; Build evaluation systems; Design evaluation rubrics; Translate requirements; Identify risks; Improve prompts; Improve tools; Improve workflows; Improve retrieval systems; Architect flexible workflows; Define escalation; Design feedback pipelines; Translate prototypes; Shape internal standards
Industry & Context.
Troubleshooting; Root cause analysis
Based in Australia
What They're Looking For.
Must Have
5+ years software engineering, Production experience with AI agents, Production experience with LLM systems, Production experience with AI workflows, Python fundamentals, Experience building backend systems, Experience building APIs, Experience building distributed workflows, Hands-on experience with agent frameworks, Hands-on experience with orchestration tools, Hands-on experience with evaluation pipelines, Hands-on experience with prompt engineering, Hands-on experience with retrieval systems, Hands-on experience with LLM application architecture, Formal training in psychology, Formal training in medicine, Formal training in psychiatry, Formal training in neuroscience, Formal training in behavioral science, Formal training in digital health, Formal training in mental health, Formal training in meditation, Formal training in mindfulness, Formal training in wellbeing science, Research experience in psychology, Research experience in medicine, Research experience in psychiatry, Research experience in neuroscience, Research experience in behavioral science, Research experience in digital health, Research experience in mental health, Research experience in meditation, Research experience in mindfulness, Research experience in wellbeing science, Applied expertise in psychology, Applied expertise in medicine, Applied expertise in psychiatry, Applied expertise in neuroscience, Applied expertise in behavioral science, Applied expertise in digital health, Applied expertise in mental health, Applied expertise in meditation, Applied expertise in mindfulness, Applied expertise in wellbeing science, Judgment around clinical claims, Judgment around wellbeing claims, Judgment around evidence quality, Judgment around risk, Judgment around user vulnerability, Judgment around real-world applicability, Evaluate AI outputs for safety, Evaluate AI outputs for clarity, Evaluate AI outputs for appropriateness, Evaluate AI outputs for evidence alignment, Translate clinical concepts to product requirements, Translate psychological concepts to product requirements, Translate research concepts to product requirements, Translate clinical concepts to prompts, Translate psychological concepts to prompts, Translate research concepts to prompts, Translate clinical concepts to workflows, Translate psychological concepts to workflows, Translate research concepts to workflows, Translate clinical concepts to engineering decisions, Translate psychological concepts to engineering decisions, Translate research concepts to engineering decisions, Work across engineering domains, Work across product domains, Work across research domains, Work across clinical domains, Pragmatic, Product-minded
What You'll Do.
Build agentic workflows
Integrate AI agents with APIs
Integrate AI agents with data systems
Integrate AI agents with content systems
Integrate AI agents with product surfaces
Build evaluation systems
Build testing systems
Build monitoring systems
Design clinical evaluation rubrics
Design wellbeing evaluation rubrics
Translate requirements into design
Identify risks in AI outputs
Improve agent workflows
Improve retrieval systems
Architect modular workflows
Define agentic system behavior
Design data pipelines
Design feedback pipelines
Translate prototypes into systems
Shape internal standards
How You'll Work.
Team & Collaboration
Head of AI; Backend engineers; Product team; Clinical research collaborators; Clinical research team; Engineering domains; Product domains; Research domains; Clinical domains
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