Randstad Digital
Full Stack Engineer
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Software Engineer (Full-Stack - Agentic AI)
Location: Manchester Campus
Duration: 18/08/2026 - 17/02/2027
Commitment: 40 hours/week (Quantity: 4 positions)
Role Overview
We are seeking versatile Full-Stack Engineers to join a multidisciplinary team focused on conversational search and next-generation travel discovery experiences. In this role, you will build user-facing features (MFE, BFF) and scalable backend Java Web Services deployed on AWS, pioneering the use of Agentic AI development workflows.
Key Responsibilities
- Agentic AI Development: Define specs, prompts, and acceptance criteria for AI Agents (e.g., Claude, Codex) to generate code, taking ultimate responsibility for code review, testing, and quality.
- Full-Stack Feature Delivery: Build and optimize responsive web and app features using modern frontend frameworks and Java backend services.
- System Integration: Scale backend services, API connectivity, and order/notification platforms.
- Quality & Reliability: Write comprehensive unit and integration tests, monitor system health via SLIs/SLOs, and participate in code reviews.
- Agile Collaboration: Translate product requirements and UX mockups into production-ready code within an agile framework.
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Qualifications & Requirements
- Education: Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
- Experience: 3+ years of professional full-stack, frontend, or backend development experience.
- Frontend Stack: Proficiency in TypeScript/JavaScript, modern frameworks (React or Vue.js), HTML, and CSS.
- Backend Stack: Strong experience with Java and server-side frameworks, plus REST or GraphQL API development.
- AI & Cloud: Direct experience using Agentic AI workflows for feature delivery and hands-on proficiency with the AWS cloud stack (including CloudFormation).
- Databases & Tools: Fundamental understanding of SQL/NoSQL databases and Git version control.
- Soft Skills: Excellent English communication skills and a growth mindset focused on continuous learning.
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Desirable Skills
- Familiarity with Kubernetes, Docker, CI/CD pipelines, and data-driven development (A/B testing).
- Experience building products for large, global user bases.
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