Software Developer (Java + AI)

About the role

This role covers the full software development lifecycle, from requirements analysis through deployment and post-production support. You will build and maintain scalable, high-availability Java applications, integrate AI-powered agents and workflows, and work closely with business stakeholders to turn AI use cases into working solutions.

Key responsibilities

• Design, develop and maintain Java-based applications, supporting legacy systems and moving them toward cloud-native microservices.
• Build, deploy and manage containerised applications with Docker, Kubernetes and EKS on AWS or GCP.
• Apply DevSecOps practices, including vulnerability assessment and remediation.
• Design and deploy AI agents and workflows using Copilot Studio, Google Agent Builder, Dataiku, OutSystems or similar platforms.
• Implement generative AI solutions such as RAG-based assistants, LLM summarisation and content generation with Azure OpenAI or equivalent.
• Integrate AI into enterprise systems via REST APIs, Graph API and Power Automate workflows.
• Gather requirements with business stakeholders, define agent behaviours and communicate solution designs.
• Test, debug and evaluate the performance of Java applications, AI agents and automation workflows.

Required profile

• Able to develop and maintain Java enterprise applications in cloud-native and DevSecOps environments.
• Strong communication skills to work with business stakeholders and translate requirements into technical solutions.

Required skills

• Java/J2EE, Spring Boot, Spring Framework, Hibernate/JPA and RESTful web services.
• Working knowledge of Python and ReactJS.
• Kubernetes and Amazon EKS; CI/CD with GitLab CI, Jenkins or GitHub Actions.
• DevSecOps: SAST, DAST, dependency scanning and secrets management.
• SQL and NoSQL databases such as PostgreSQL, MSSQL or MongoDB.
• Git, Maven, Gradle and Docker.
• Hands-on experience with one or more AI/agent platforms (Copilot Studio, Dataiku, Google Agent Builder, OutSystems).
• Understanding of AWS and/or GCP, and of LLMs, RAG and agentic AI patterns.