Overview Build the Future of AI-Powered Healthcare.
We are a global leader in digital health, where cloud-native platforms and intelligent algorithms are transforming patient care for millions worldwide.
Our team builds the real-time, AI-driven systems that connect medical devices, clinicians, and patients, turning data into better health outcomes.
We're looking for a Cloud & AI Engineer to join our Dublin hub.
You'll design and build the core serverless infrastructure and Gen AI features that power our next-generation health platforms.
Responsibilities Build with Purpose: Engineer systems that directly improve patient health and clinician effectiveness.
Master a Cutting-Edge Stack: Work with Python, AWS Lambda, Terraform, and production Gen AI (LLMs, RAG, Agents) at scale.
Own & Innovate: Lead the full development lifecycle in a collaborative, agile team that feels like a startup.
Grow as a Specialist: Become a key player in the intersection of cloud engineering and applied AI for healthcare.
Qualifications2–5 years of professional software development experience with strong proficiency in Python.
Hands-on experience with AWS serverless services (Lambda, API Gateway, Dynamo DB) and Infrastructure-as-Code (Terraform or Cloud Formation).
Practical experience or a strong, demonstrable passion for Gen AI/LLMs (e.g., prompt engineering, RAG architectures, Open AI/Anthropic APIs, Lang Chain).
A solid grasp of event-driven architecture, RESTful APIs, and microservices.
Experience with Dev Ops practices: CI/CD, Git, Docker, and monitoring (Cloud Watch, Datadog).
A collaborative, problem-solving mindset and a drive to build solutions that matter.
Build & Own Scalable Cloud-Native Applications: Architect and develop secure, reliable backend systems on AWS (Lambda, Dynamo DB, API Gateway, Event Bridge).
Intelligent AI Features: Design and integrate Gen AI capabilities—from RAG-backed chatbots to LLM-driven data insights—that enhance our digital health experiences.
Automated Infrastructure: Define and manage cloud resources using Infrastructure-as-Code (Terraform), ensuring repeatable and compliant deployments.
End-to-End Solutions: Collaborate from concept to production, implementing event-driven workflows, robust APIs, and full CI/CD pipelines.
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