AI-Native Software Engineer

AI‑Native Software Engineer

Location: Hybrid (Wilmslow HQ) or Remote

Salary: Competitive

Role Overview

This role is a hands‑on engineering position at the centre of a platform transformation. You will be a core contributor to a squad that is changing how software is built, owned, and delivered, with direct influence over quality and direction. The focus is on moving from a traditional release cycle to CI/CD, shifting shared services into team‑owned boundaries, and embedding AI into our development process.

Responsibilities

• Write production‑quality code daily across the full stack: backend, frontend, and supporting infrastructure.
• Take ownership of features and workstreams from design to deployment, delivering shippable increments.
• Contribute to technical design and architecture discussions with well‑reasoned input.
• Run technical spikes and proofs of concept to explore approaches and reduce uncertainty.
• Manage your own technical debt responsibly.
• Play an active part in decomposing shared services into team‑owned components.
• Support the move to CI/CD by contributing to pipelines, automated tests, and trunk‑based development.
• Build with observability in mind: instrumentation, logging, monitoring.
• Take operational responsibility for the systems you build.
• Write clean, testable, secure code and practice test‑driven development.
• Participate actively in code review, giving and receiving feedback.
• Apply secure coding practices (dependency management, threat awareness, security testing).
• Use AI natively in your engineering work – think through problems, generate and review code, and build and test solutions.
• Contribute to AI‑powered workflows that improve delivery capability.
• Engage with the team’s AI agents and tooling, helping to refine and improve them.
• Bring a critical eye to AI‑generated output, verifying quality and maintaining standards.
• Work closely with Tech Lead and teammates through pairing, mob programming, and shared problem‑solving.
• Support less experienced engineers via code review, pairing, and daily conversation.
• Participate in planning, refinement, stand‑ups, reviews, and retrospectives.
• Take an active interest in your own development, staying current with technologies and practices.

Required Experience and Skills

Technical

• Proven experience delivering complex features on production systems.
• Full‑stack capability across backend and frontend, with databases and cloud infrastructure.
• Practical experience with CI/CD pipelines, automated testing, and infrastructure‑as‑code.
• Working knowledge of cloud platforms (Azure/AWS) and containerisation (Docker/Kubernetes).
• Sound security fundamentals: secure coding, dependency management, awareness of common vulnerabilities.
• Experience refactoring and improving existing codebases.

AI‑Native Engineering Practice

• Demonstrable experience using AI as a genuine part of your engineering workflow.
• Comfortable critically evaluating, refining, and taking responsibility for AI‑generated output.

Behavioural

• High standards – pride in quality and shipping reliable work.
• Collaborative – share openly, improve teammates.
• Self‑directed – take ownership and deliver without constant oversight.
• Adaptable to change – remain positive when priorities shift.
• Curious and committed to learning – continuously develop skills and share new ideas.

Nice to Have

• Experience building or contributing to AI agents or automated workflows in production.
• Experience with event‑driven architectures, message queues, or reactive systems.
• Contributions to open source or active participation in technical communities.

Benefits

• 25 days holiday + 8 bank holidays.
• Birthday day off.
• Post‑wedding holiday bonus.
• Family support vouchers.
• Private healthcare (cash plan).

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