AI Cloud Engineer

Cloud & AI Engineer (AWS, Python, GenAI) | Hybrid Dublin

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 GenAI features that power our next-generation health platforms.

This is your chance to:

• 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 GenAI (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.

What You Bring:

• 2–5 years of professional software development experience with strong proficiency in Python.
• Hands-on experience with AWS serverless services (Lambda, API Gateway, DynamoDB) and Infrastructure-as-Code (Terraform or CloudFormation).
• Practical experience or a strong, demonstrable passion for GenAI/LLMs (e.g., prompt engineering, RAG architectures, OpenAI/Anthropic APIs, LangChain).
• A solid grasp of event-driven architecture, RESTful APIs, and microservices.
• Experience with DevOps practices: CI/CD, Git, Docker, and monitoring (CloudWatch, Datadog).
• A collaborative, problem-solving mindset and a drive to build solutions that matter.

What You'll Build & Own:

• Scalable Cloud-Native Applications: Architect and develop secure, reliable backend systems on AWS (Lambda, DynamoDB, API Gateway, EventBridge).
• Intelligent AI Features: Design and integrate GenAI 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.