AI-Augmented Software Engineer

Role Title: AI-Augmented Software Engineer

Overview

The role of a Software Engineer has evolved with Generative AI (GenAI) and AI-assisted development tools (Cursor, Replit, Loveable, GitHub Copilot). This position focuses on leveraging AI to build, iterate, and refine software solutions, with a greater emphasis on problem-solving, logical thinking, and continuous improvement rather than deep technical specialism.

Rather than just writing code, the AI-Augmented Engineer operates AI-powered workflows, experiments rapidly, and integrates solutions that align with customer needs. The ideal candidate will have a strong analytical mindset, a passion for learning, and an ability to work iteratively, rather than requiring deep expertise in traditional software engineering.

We believe that for this role to be successful, you're someone who naturally thinks systematically and logically. You don't need so much specific technical expertise, as much as having this instinctive behaviour. You'll be someone who sees inefficiencies, identifies what inputs would need to be improved or changed to eliminate the inefficiency. You'll be hungry to implement things, but know that it's likely that tuning existing systems and processes will yield better, more sustainable results than adding more layers of code.

Key Responsibilities

AI-Augmented Development

• Use AI-powered development tools to write, review, and refine code efficiently.
• Work iteratively with AI to debug, refactor, and optimise existing solutions.
• Experiment with prompt engineering techniques to maximise AI-generated solutions.
• Identify edge cases and risks in AI-generated code and implement solutions accordingly.

Problem Solving & Logical Thinking

• Break down complex challenges into smaller, testable components that can be addressed through AI-driven development.
• Apply logical reasoning to verify AI-generated outputs, ensuring correctness and maintainability.
• Use data-driven insights to refine AI-assisted software development approaches.
• Proactively explore alternative approaches and continuous improvements through iteration.

Iterative Development & Experimentation

• Adopt a rapid prototyping mindset, testing multiple AI-generated approaches and refining based on results.
• Quickly assess whether AI-assisted solutions meet the required outcomes, adjusting as necessary.
• Leverage AI for automated testing, performance improvements, and quality assurance.
• Stay open to exploring new AI-powered workflows, balancing efficiency with reliability.

Customer-Focused Engineering

• Develop solutions with a strong emphasis on end-user needs and experience.
• Validate AI-generated code against customer or business objectives, ensuring alignment.
• Leverage AI insights to identify patterns in user behaviour and inform development decisions.
• Work closely with cross-functional teams to continuously refine and improve products.

Continuous Learning & AI Optimisation

• Stay curious and experiment with new AI-assisted development tools.
• Continuously refine prompt engineering skills to maximise AI-generated code efficiency.
• Share learnings and collaborate with peers on best practices for AI-augmented development.
• Challenge existing assumptions and explore innovative AI-driven approaches to problem-solving.

We Would Love to Talk to You If...

• You are naturally curious and love solving problems, regardless of prior technical experience.
• You enjoy breaking down complex challenges into structured, logical steps.
• You are excited by AI’s potential in software development and eager to experiment with new AI tools.
• You work iteratively, continuously refining your approach based on feedback and experimentation.
• You are comfortable with ambiguity and learning as you go, rather than needing a perfect solution upfront.
• You care about building solutions that truly help customers and are willing to adapt based on insights.
• You value data-driven decision-making and use evidence to guide your iterations.
• You see AI as a powerful assistant, helping you work more efficiently rather than replacing human problem-solving.

Why This Role?

• AI-First Development: Work with cutting-edge AI tools to create and refine software faster than ever before.
• Problem-Solving Over Coding: Focus on structuring logic, iterating, and improving outcomes, rather than deep technical specialisation.
• Customer Impact: Use AI to rapidly prototype, validate, and deliver software solutions that matter.
• Career Growth: Develop AI-driven workflows and automation skills that are shaping the future of software development.
• Future-Proof Your Skills: Build expertise in AI-assisted problem-solving, logical reasoning, and iterative development.

Ideal Candidate Profile

Who should apply?

• Individuals with a strong analytical mindset who enjoy solving problems, structuring logic, and iterating on ideas.
• Those who are curious and adaptable, excited to work alongside AI tools rather than relying solely on traditional approaches.
• People who thrive on learning new technologies and refining their workflows to improve efficiency.
• Engineers, analysts, or problem-solvers who enjoy using AI to enhance their decision-making and development speed.

Who is this role NOT for?

• Candidates looking for a traditional software engineering role focused on deep technical specialism.
• Individuals who prefer manual coding over AI-assisted workflows.
• Those who are resistant to rapid iteration, experimentation, and finding new ways of achieving great customer outcomes.