Associate Full-Stack Engineer: AI-Powered Travel UX

Awaze

Manchester

Hybrid

GBP 30,000 - 45,000

Full time

14 days+

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Benefits offered by this job

Generous discounts on holidays
Flexible hybrid working
Opportunities for career progression

Job summary

A leading travel technology company in Manchester is seeking an Associate Software Engineer to contribute across the full stack. This role involves building high-performance web and mobile applications using React and Kotlin, while also implementing AI-driven features. The ideal candidate has a passion for learning about AI and cloud technologies, enjoys collaborative work, and is keen to grow within an innovative engineering environment. The position promotes a flexible, hybrid working model with opportunities for professional development.

Qualifications

  • Interest in back-end development technologies.
  • Curiosity about AI's role in modern software.
  • Willingness to learn cloud technologies.
  • Basic understanding of data storage solutions.
  • Eager to adopt test-driven development.
  • A proactive and collaborative team player.

Responsibilities

  • Develop high-performance React components.
  • Create robust Kotlin microservices.
  • Collaborate on end-to-end product execution.
  • Integrate AI-driven features into products.
  • Implement CI/CD and cloud-native practices.

Skills

Back-end development interest (Node.js or Kotlin/JVM)
Curiosity about AI and Machine Learning
Interest in cloud technologies (AWS, Terraform)
Understanding of data handling (relational databases, OpenSearch)
Quality-focused mindset with eagerness for TDD
Collaborative approach in cross-functional teams

Tools

Node.js
Next.js
TypeScript
Kotlin
AWS
Terraform

Job description

A leading travel technology company in Manchester is seeking an Associate Software Engineer to contribute across the full stack. This role involves building high-performance web and mobile applications using React and Kotlin, while also implementing AI-driven features. The ideal candidate has a passion for learning about AI and cloud technologies, enjoys collaborative work, and is keen to grow within an innovative engineering environment. The position promotes a flexible, hybrid working model with opportunities for professional development.
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