Senior Software Engineer - AI-Driven Platform (Hybrid UK)

Kaluza; City of Edinburgh; Hybrid; GBP 85,000 - 110,000; Full time

Benefits offered by this job

26 days holiday

Private medical insurance

Pension scheme

Discretionary bonus

Learning budget

Home office budget

Climate action app

Job summary

Kaluza is seeking a Senior Engineer to own end-to-end features, work across the stack, and ship production-ready code using AI agents. The role spans frontend, backend, and data services with hybrid collaboration across teams in Bristol, London or Edinburgh.

You’ll contribute to a scalable platform, mentor teammates, and help define best practices for AI-driven development in a fast-paced energy-tech environment.

Qualifications

• Experience shipping production software on a modern stack.
• Ability to work across frontend, backend, and data services.
• Proficiency with AI coding agents and automated testing.
• Ownership of production systems and on-call responsibility.
• Strong product sense and user-focused decision making.
• Clear written specs, PRs and post-mortems.
• Mentor peers and influence team processes.

Responsibilities

• Own a slice of the product end to end and run it in production.
• Work across the interface, services, and APIs as needed.
• Build with AI coding agents as default and review their output.
• Stay close to users or forward-deployed engineers and instrument usage.
• Shape the codebase and checks so agents produce correct output.
• Mentor peers, review work, and share knowledge.

Skills

Own end-to-end features

Cross-stack work

AI-assisted development

Production systems ownership

Strong product sense

Clear technical writing

Mentor peers

Job description

Kaluza is seeking a Senior Engineer to own end-to-end features, work across the stack, and ship production-ready code using AI agents. The role spans frontend, backend, and data services with hybrid collaboration across teams in Bristol, London or Edinburgh.

You’ll contribute to a scalable platform, mentor teammates, and help define best practices for AI-driven development in a fast-paced energy-tech environment.