AI Augmented Software Engineer

Accenture; Remote; GBP 40,000; Full time

Job summary

A leading technology consulting firm is seeking an AI Augmented Software Engineer to enable an AI-first approach in software development. This role entails managing the full software development lifecycle, from discovery to deployment, utilizing AI tools such as Claude Code. The ideal candidate should have strong programming skills, experience with automated testing, and a passion for AI tools. Candidates will work collaboratively with cross-functional teams and ensure quality through testing and documentation while adopting engineering best practices.

Qualifications

• High level of proficiency in at least one programming language.
• Experience writing and maintaining unit tests.
• Ability to take a feature from idea to production.
• Strong interest in AI tools for software engineering.
• Comfortable reviewing and editing AI-generated code.
• Good collaboration skills with cross-functional teams.

Responsibilities

• Proactively communicate on project progress and blockers.
• Use AI coding tools to implement features on the EQUAL platform.
• Translate business goals into actionable features.
• Ensure high-quality deliverables through testing.
• Suggest and implement improvements in developer workflows.

Skills

Proficiency in programming languages

Experience with automated testing

Strong interest in AI tools

Collaboration skills

Clear communication

Experience with AI coding assistants

Job description

Overview

Location: Remote
Department: Web and Systems
Salary: £40,000
Hours: 37.5
Contract Type: Permanent

Purpose of the Role

The AI Augmented Software Engineer role will enable a new way of building software as the team moves to an AI‑first approach, using tools such as Claude Code to design, build, and shape features that accelerate the achievement of business objectives. The role will be responsible for the full software development life cycle for specific projects, from discovery and coding through testing, deployment, DevOps, observability, and cybersecurity.

Key Responsibilities

• Proactively communicate progress on projects, blockers, and project timelines to the Head of Engineering and Product & Delivery Lead.
• Use cutting‑edge AI coding tools, particularly Claude Code, to design, implement, and improve features on the EQUAL platform.
• Work across domains (product, design, data, DevOps, cyber security) to understand problems and ship valuable solutions quickly.
• Translate business goals into actionable product features and deliverables.
• Provide precise prompts, specifications, and tasks for AI tools, then refine and review the generated output.
• Ensure high‑quality deliverables through unit testing, automated checks, and comprehensive documentation.
• Suggest and implement improvements in systems, processes, and developer workflows, especially where AI can remove friction.
• Work with the team to ensure that AI tools are used consistently and appropriately across the team, including agreeing on patterns, guardrails, and best practices.
• Keep on top of the latest developments in AI tooling and practices so the organization remains at the cutting edge of AI‑assisted software development.

Qualifications & Skills

• High level of proficiency in at least one programming language, with evidence you can learn new languages quickly.
• Experience writing and maintaining unit tests or other automated tests in any language or framework.
• Ability to take a feature or problem from idea through to production, including design, implementation, testing, and deployment.
• Strong interest in AI tools for software engineering, with a clear view on their strengths, weaknesses, and appropriate use.
• Comfortable reviewing and editing AI‑generated code and content, rather than blindly accepting outputs.
• Good collaboration skills when working with cross‑functional teams and stakeholders.
• Clear, concise written and verbal communication, including reporting on progress, trade‑offs, and technical constraints.
• Demonstrated ability to balance delivery speed with code quality, security, and long‑term maintainability.
• Habit of applying engineering best practices: version control, code review, documentation, and sensible testing.
• Experience using AI coding assistants (for example Claude Code, GitHub Copilot, or similar) in your day‑to‑day work (desirable).
• Exposure to modern DevOps practices (CI/CD, infrastructure as code, monitoring, incident response) (desirable).
• Exposure to secure coding practices or application‑level cyber security concerns (desirable).
• Experience working across different parts of the stack, or a track record of picking up new tools rapidly (desirable).
• A genuine interest in education and the impact of technology and AI on how people learn (desirable).