Senior Software Engineer – Clinical AI

Heidi Health Corp.; Ireland; On-site; EUR 90,000 - 130,000; Full time

Job summary

Jobtailor is seeking a seasoned Fullstack AI Engineer in Ireland to build end-to-end AI features, from React frontends to Python backends, leveraging voice AI and LLMs to automate clinical workflows.

You will operationalise Voice AI, fine-tune ASR and LLM agents, and translate clinical feedback into rapid prototypes and production-ready improvements. Real-time audio streaming and deployment in medical contexts are central to the role.

Qualifications

• Proficiency in fullstack development from database schema to UI.
• Hands-on experience with LLMs, RAG, and audio processing.
• Ability to ship production features rapidly.
• Cloud infrastructure and CI/CD proficiency.
• Real-time audio streaming and latency optimization experience.
• Clinical AI product exposure preferred.

Responsibilities

• Build end-to-end AI features spanning React frontend to Python backend.
• Operationalise Voice AI with ASR and LLM agents.
• Translate clinician feedback into technical solutions and rapid prototypes.
• Tune real-time interaction to minimise latency in audio streaming.
• Ship integrations from concept to production in days.

Skills

Python

React/TypeScript

LLM integration

Audio technologies

AWS/GCP

CI/CD

Observability

Testing in production

Clinical AI products

Problem solving

Education

Medical degree with clinical experience

Tools

AWS

GCP

Containers

Serverless

Job description

Responsibilities

• 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.

Qualifications

• 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.