Responsibilities
- Translate customer use cases into training and evaluation plans.
- Select data, models, training approaches, infrastructure, and serving configurations.
- Fine-tune, evaluate, and improve models for specialised domains using testing and production feedback.
- Design cost-effective cloud or on-premise deployment and inference systems.
- Improve AI system reliability, latency, and operating cost, including monitoring, backup, and recovery.
- Build production agent workflows around language models with customer data, tools, controls, and observability.
- Work with customers to understand requirements and constraints, explain technical trade-offs, and deliver solutions through production launch.
- Own system design, technical decisions, and customer outcomes.
Requirements
- Strong experience in at least two of model customisation, deployment and inference, agent systems, and customer delivery.
- Practical experience building or operating production AI systems.
- Solid software engineering or machine learning engineering skills.
- Familiarity with open-weight language models and the modern LLM ecosystem.
- Good judgement balancing model quality, cost, latency, privacy, complexity, and reliability.
- Ability to work through ambiguous technical and customer requirements.
- Clear communication with technical and non-technical stakeholders.
Benefits
- $1,000 annual learning and development budget.
- $150 per month health and wellness allowance.
- $500 home office budget.
- 26 weeks of paid primary parental leave and 18 weeks of paid secondary parental leave.
- Fertility support up to $10,000.
- Four weeks of work from anywhere per year.
- Serious equity.
- Flexible scheduling with an outcomes-focused working model.
Categories
About Heidi
Heidi is building an AI Care Partner to expand clinical capacity by supporting every stage of care delivery. In addition to its AI scribe, Heidi has introduced Evidence, giving clinicians access to trusted medical research at the point of care, and Comms, enabling healthcare teams to coordinate patient communications. Heidi supports more than 2.7 million patient interactions each week in 110 languages from 190 countries. Founded in Melbourne, Australia, Heidi has raised $96.6M USD from global investors including Point72 Private Investments, Blackbird, Headline, Phoenix Court's growth fund Latitude, Possible Ventures and Archangel. Heidi aligns with leading international healthcare and privacy frameworks, including NHS requirements, GDPR, HIPAA, and the Australian Privacy Principles, and maintains enterprise-grade security certifications including ISO 27001, SOC 2 Type II, Cyber Essentials Plus, and ISO 42001. Learn more at heidihealth.com