Full Stack AI Software Engineer (1-Year Contract)

About the role

A highly motivated Full Stack AI Software Engineer is sought to design, develop, test, deploy and maintain secure, scalable and cloud-native applications. The engineer works with Business Users, Product Owners, Solution Architects, Business Analysts, Quality Engineers, DevOps Engineers, Security Teams and Operations Teams, from idea validation and prototyping through production adoption. This is a 1-year contract position.

Key responsibilities

• Develop enterprise applications with Java (Quarkus and/or Spring Boot), Python, React, TypeScript and RESTful APIs, applying clean architecture and secure coding.
• Translate business needs into specifications, user stories and API contracts, using SDD, DDD, BDD and TDD, and keep traceability through to production.
• Run Proof of Concept and Proof of Value exercises, building prototypes and reusable accelerators.
• Use approved AI-assisted development tools (LLMs) for code generation, testing, documentation and code review, following responsible AI and security requirements.
• Maintain GitLab CI/CD pipelines with SonarQube, Nexus IQ, SAST, dependency and container scanning, and quality gates.
• Create reusable templates, reference architectures and starter kits, promote InnerSource and author engineering standards and onboarding guides.
• Support the transition of prototypes and POCs into production, assess production readiness and help teams meet security, compliance and observability requirements.
• Write automated unit, integration, API and end-to-end tests, and take part in code and security reviews.
• Deploy and support applications on AWS with Docker and Kubernetes or OpenShift, using Infrastructure-as-Code and working with API gateways, messaging, event streaming, secrets management, logging, metrics and distributed tracing.

Required profile

• Degree or diploma in Computer Science, Software Engineering, Information Technology or a related field.
• At least five years of hands-on software development, including production-grade enterprise applications.
• Experience with backend, frontend, automated testing, CI/CD and production support, and with Agile teams and business stakeholders.
• Experience building AI-powered applications and integrating approved enterprise AI services.
• Experience in financial services, government or another regulated environment.
• Ability to manage multiple priorities and adapt to change; shortlisting may include a medical declaration.

Required skills

• Java (Quarkus and/or Spring Boot), Python, React, TypeScript, REST APIs
• OpenAPI or Swagger, MCP, RAG architectures, LLM gateways, agentic workflows
• GitLab CI/CD, SonarQube, Nexus IQ, Docker, Kubernetes or OpenShift, Infrastructure-as-Code
• InnerSource and reusable service design
• Relevant cloud, software engineering, security or DevOps certifications