AI-Native Software Engineer

Adwanted UK | B Corp; Saltash; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Adwanted UK | B Corp seeks an AI-Native Software Engineer to lead our transition to AI-native software delivery. You will shape architecture, guardrails and verification systems that enable high-quality software to be delivered rapidly and safely.

You will influence engineering practices across the organization, solve meaningful customer problems, and help establish what great engineering looks like in an AI-native world.

Qualifications

• Essential AI-native mindset and strategic engineering discipline.
• Ability to architect, verify and capture knowledge.

Responsibilities

• Design understandable, observable, and resilient systems.
• Translate complex business problems into clear architectural solutions.
• Define boundaries, responsibilities and constraints that enable teams to move quickly and safely.
• Continuously improve AI-native delivery practices.
• Define evidence proving systems satisfy functional and non-functional requirements.
• Build automated quality gates, testing and verification frameworks.
• Use evidence as the primary source of confidence.
• Reduce reliance on routine manual code review.
• Capture architectural decisions, business rules and operational knowledge for reuse by people and AI systems.
• Mentor engineers in AI-native delivery practices.
• Help establish and evolve engineering standards across the organisation.
• Raise engineering capability while reducing dependency on individual experts.
• Report software bugs/faults, liaise with developers and conduct testing to ensure these are resolved.

Job description

AI-Native Software Engineer

Hybrid in London or fully remote, your choice!

Job Overview

As an AI-Native Software Engineer, you will help lead Adwanted's transition to a new model of software engineering.

You will work on the systems that power our products while helping define how software is built, verified and operated in an AI-native organisation.

You will shape the architecture, guardrails and verification systems that enable high-quality software to be delivered rapidly and safely. You will solve meaningful customer problems, influence engineering practices across the organisation and help establish what great engineering looks like in an AI-native world.

This is a role for engineers who enjoy solving difficult problems, improving systems and creating solutions that clients love.

Success is measured by customer outcomes, system reliability and organisational capability, not by the volume of code written.

ResponsibilitiesArchitecture and Delivery

• Design understandable, observable, and resilient systems.
• Translate complex business problems into clear architectural solutions.
• Define boundaries, responsibilities and constraints that enable teams to move quickly and safely.
• Continuously improve AI-native delivery practices.

Verification and Quality

• Define evidence proving systems satisfy functional and non-functional requirements.
• Build automated quality gates, testing and verification frameworks.
• Use evidence as the primary source of confidence.
• Reduce reliance on routine manual code review.

Knowledge and Leadership

• Capture architectural decisions, business rules and operational knowledge in forms that can be reused by both people and AI systems.
• Mentor engineers in AI-native delivery practices.
• Help establish and evolve engineering standards across the organisation.
• Raise engineering capability while reducing dependency on individual experts.
• Report software bugs/faults, liaise with developers and conduct testing to ensure these are resolved.

Who We Are Looking ForEssentialAI-Native Mindset

• You understand how AI can accelerate implementation.
• You value architecture, verification and knowledge capture as strategic engineering disciplines.
• You are excited by generated and regenerable software.
• You want to help shape the future of software engineering rather than preserve the practices of the past.
• You see AI as an opportunity to solve bigger problems, not simply produce the same software faster.
• You believe confidence should come from evidence and verification, not from code review.
• You understand that customer value, system reliability and organisational capability matter more than the code.

Architecture and Verification

• Strong software architecture experience.
• Deep understanding of quality engineering, testing and observability.
• Able to define and evaluate evidence for correctness.
• Comfortable designing systems that are understandable, observable, resilient and regenerable.

AI-Native Delivery

• Experienced using AI as an integral part of software delivery, rather than only as a coding aid.
• Can provide context, constraints and feedback that produce high-quality outcomes.
• Understands the strengths and limitations of modern AI systems.

Communication and Leadership

• Explains complex ideas clearly.
• Mentors and develops other engineers.
• Connects technical decisions to business outcomes.

Nice to Have

• Cloud-native platforms
• Observability platforms
• Platform engineering
• Security engineering
• Infrastructure as code
• Automated quality systems

What Success Looks Like

• Customers receive valuable improvements more quickly and reliably.
• Confidence in automated verification exceeds confidence in manual code review.
• Critical knowledge is documented and reusable.
• Systems become easier to understand, change and replace.
• AI-native delivery becomes a trusted way of working.