Senior Software Engineer – Clinical AI

Heidi Health

Engineer designing and deploying AI solutions that support clinicians at Heidi, enhancing healthcare delivery and operational efficiency through technology.

Posted 6/5/2026full-time🇮🇪 IrelandSeniorWebsite

ATS Keywords

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Hard Skills

PythonReactTypeScriptAutomatic Speech Recognition (ASR)Large Language Models (LLMs)audio processingcloud infrastructureCI/CD pipelinesreal-time audio streamingprobabilistic modeling

Soft Skills

pragmatic problem solvingcommunicationcollaborationfeedback integrationrapid prototypingadaptabilityengineering puritycustomer focustactical solution developmentobservability implementation

Tools & Technologies

AWSGCPcontainersserverless functionsobservability toolsfeedback loopsclinical workflowsaudio technologiesintegration toolsdevelopment environments

Certifications & Qualifications

Medical degree

Industry Keywords

clinical AIhealthcare technologyvoice AIspeech processingreal-world medical environmentsmodel behaviorprompt engineeringfeature integrationdatabase schemaUI interaction

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformPythonReactTypeScript

About the role

Key responsibilities & impact

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.
Operationalise 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 behaviour, prompting strategies, and audio handling.
Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimising 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

What you’ll need

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.
Medical degree with clinical experience, and ideally experience working on clinical AI products

Benefits

Comp & perks

Comprehensive private medical and dental cover through Bupa, plus 24/7 mental health, coaching and wellbeing support through Sonder and a £100/month Healthy Heidi’s stipend.
Global parental leave. 26 weeks paid for primary carers and 18 weeks for secondary carers, subject to eligibility.
Fertility support. £7,000 one-off payment, eligibility applies.
Learning & development. £700 per year for courses, books, memberships, conferences and more.
Home office budget. £500 one-off to set up a workspace you actually want to work in.
Recharge days after major milestones and busy periods so you can reset and come back strong.
Work from anywhere for up to 4 weeks per year, wherever the world takes you.
Clinical leave. 10 days per year for eligible clinical roles to maintain accreditation and requirements.
Flexibility that works. A hybrid environment, with 3 days in the office.