
Senior Software Engineer, AI Voice Agents
Heidi Health
full-time
Posted on:
Location Type: Hybrid
Location: Sydney • 🇦🇺 Australia
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudGoogle Cloud PlatformPythonReactTypeScript
About the role
- Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage our voice AI and LLMs to automate clinical workflows.
- Operationalize Voice AI: Implement and fine-tune audio processing pipelines, ensuring our Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse, real-world medical environments.
- Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling.
- Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimizing latency so clinicians have a seamless conversational experience.
- Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters.
Requirements
- Mastery of Fullstack fundamentals: You are equally proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from the database schema to the UI interaction.
- Applied AI & Voice fluency: You have a working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing) and know how to build around their probabilistic nature.
- Pragmatic problem solving: You balance engineering purity with the need for speed; you know when to build a robust system and when to ship a tactical solution to unblock a customer.
- Cloud fluency (AWS or GCP): You can spin up your own infrastructure (containers, serverless functions) and manage CI/CD pipelines to get your code into the hands of users independently.
- Rigorous testing in production: You understand that "works on my machine" isn't enough; you implement observability and feedback loops to monitor how your AI features perform in the wild.
Benefits
- Flexible hybrid working environment, with 3 days in the office.
- Additional paid day off for your birthday and wellness days
- Special corporate rates at Anytime Fitness in Melbourne, Sydney tbc.
- A generous personal development budget of $500 per annum
- Learn from some of the best engineers and creatives, joining a diverse team
- Become an owner, with shares (equity) in the company, if Heidi wins, we all win
- The rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups
- If you have an impact quickly, the opportunity to fast track your startup career!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonReactTypeScriptAutomatic Speech Recognition (ASR)Large Language Models (LLMs)audio processingreal-time audio streamingCI/CD pipelinesdatabase schemaprompt engineering
Soft skills
pragmatic problem solvingcommunicationcollaborationfeedback integrationrapid prototypingadaptabilityengineering puritycustomer focustactical solution developmentobservability implementation