Senior AI Engineer - Hybrid, Shape AI at Scale

The Travel Chapter

Rawridge

Hybrid

GBP 54,000 - 66,000

Full time

14 days+

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Job summary

The Travel Chapter is seeking a Senior AI Developer to shape the future of software delivery across Travel Chapter. You'll work at the intersection of technology, product and business change, using AI coding agents and emerging tools to build solutions that solve real-world challenges.

Based in the UK with hybrid work in Bristol or Bideford, you will collaborate with Product Managers and stakeholders to automate processes and deliver bespoke internal applications that create tangible value.

Qualifications

Significant software development experience across web apps, APIs, backend services or enterprise systems.
Experience using AI coding agents as a core part of your development approach.
A strong understanding of software engineering principles, architecture and development best practice.
Experience deploying and supporting applications in production environments.
The ability to turn an ambiguous challenge and turn it into a structured, deliverable solution.
Confidence reviewing, debugging and validating code generated by AI tools.
Excellent stakeholder management and communication skills.
Strong organisational skills, with the ability to manage multiple initiatives at the same time.
A naturally curious, investigative and creative mindset.
A passion for exploring new technology and challenging traditional ways of working.

Responsibilities

Building and delivering software primarily through AI coding agents, using tools such as Claude Code, Codex and other emerging technologies.
Working closely with Product Managers to understand business problems, explore opportunities and prioritise high-value initiatives.
Designing and developing bespoke internal applications, automations and tools that improve efficiency and create meaningful business impact.
Turning business requirements and ideas into clear delivery plans, user stories and technical solutions.
Managing multiple projects simultaneously, driving progress independently and adapting priorities as new opportunities arise.
Reviewing, validating and refining AI-generated outputs to ensure solutions are secure, scalable and production-ready.
Owning the full delivery lifecycle, from discovery and design through to deployment, monitoring and continuous improvement.
Investigating complex business and technical challenges, identifying root causes and developing practical solutions.
Creating reusable prompts, workflows and development practices that improve the effectiveness of AI-assisted engineering.
Supporting the wider engineering function in adopting new agentic ways of working.