Senior Software Engineer - AI
Summary
Albany Beck, a consultancy serving financial services clients, is hiring a Senior Software Engineer for its AI Innovation Lab in Dublin to take AI-driven ideas from prototype to production. The role is end-to-end full stack: Java/Spring Boot backend, Angular frontend, SQL Server, and GCP deployment with Kubernetes and Docker.
Albany Beck are a Management Consultancy focused on providing specialist talent and transformative solutions to Financial Services clients. We combine subject matter expertise with innovative delivery models that help clients scale efficiently, while offering meaningful, long-term career opportunities to our people. At Albany Beck, you’ll be choosing to work with an organisation that’s passionate about your learning journey and committed to your professional career and personal development.
Role Overview
We are building out an AI Innovation Lab focused on rapidly prototyping and scaling intelligent solutions. We are looking for a Senior Full Stack Java Developer who thrives in fast-moving, experimental environments and can take ideas from concept to production.
This role requires a self-driven, end-to-end engineer who can hit the ground running and operate with minimal supervision, delivering both prototypes and production-ready systems.
Key Responsibilities
- Design and build AI-driven prototypes rapidly
- Own end-to-end delivery across backend, frontend, and infrastructure
- Develop backend services using Java (17–25) and Spring Boot
- Build UI components using Angular
- Integrate AI services and APIs
- Design REST APIs and distributed systems
- Work with SQL Server databases
- Deploy to GCP using Kubernetes and containers
- Optimise performance and refine prototypes into production-ready solutions
- Contribute to architecture and technical direction
- Mentor other engineers as the team grows
Key Skills and Experience
- 7+ years Java experience (Java 17+ preferred)
- Strong Spring Boot and microservices experience
- Full stack experience including Angular
- Kubernetes and Docker
- CI/CD and DevOps practices
- SQL Server or similar database expertise
- Ability to work independently with minimal supervision
- LLMs or prompt engineering exposure
- Event streaming systems
- Innovation or greenfield project experience