AI-Native Software Engineer
Hybrid in London or fully remote, your choice!
Application to: ***email_hidden***
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.
STRICTLY NO AGENCIES
- By submitting your details to ***email_hidden*** you confirm that you are happy for us to retain your personal details on file.
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