Heidi

The Software Implementation Engineer owns the hands-on technical delivery of complex NHS enterprise deployments, from identity and tenant setup through integrations, agent configuration, testing, and go-live. This customer-facing role diagnoses implementation issues, coordinates the right technical owners, and ensures accounts are ready for successful adoption and handover.

Senior AI Infrastructure Engineer responsible for building and operating the production infrastructure behind Heidi’s AI models. The role spans model serving, GPU cluster management, distributed training support, performance optimization, observability, reliability, and cost efficiency.

Build and own the Android experience for Heidi Remote, a clinical recording device used by doctors every day. You’ll develop Kotlin/Android features for Bluetooth connectivity, device pairing, synchronization, Wi‑Fi onboarding, and reliable healthcare workflows.

Build Heidi’s cross-platform desktop applications for clinicians, combining Rust-based system components with modern web interfaces. You’ll own complex desktop experiences end to end, including performance, audio capture, transcription, integrations, and reliability.

Build Heidi’s next healthcare products from zero to one, owning React/TypeScript interfaces, Python services, and safe LLM-powered features end to end. You’ll rapidly test ideas with clinicians and take promising products from prototype through production.

Senior AI Models Engineer responsible for customising, deploying, and integrating AI systems for enterprise healthcare customers. The role combines model fine-tuning, production inference, agent workflows, and customer delivery.

Heidi is hiring a Mid Level AI Models Engineer to customise, deploy, and build production AI and agent systems for enterprise healthcare customers. The role combines hands-on model engineering with customer delivery and practical optimisation of quality, cost, latency, privacy, and reliability.

Build Heidi’s in-house, deterministic RPA engine that automates data entry into EHRs when native integrations are unavailable. You’ll combine Python engineering, UI automation, patient-matching logic, and live customer deployments to deliver reliable healthcare workflows at scale.