Lead AI Software Engineer - Hybrid, AI-Native & Cloud

VOIS; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

VOIS is seeking a Lead AI Software Engineer to lead software implementation and engineering delivery across squads, platform capabilities, or engineering domains in the UK. This senior hands‑on role translates specifications into scalable, production‑ready software, combining strong software engineering with AI-native practices to deliver AI-generated code, tests, and docs.

You will collaborate with Technical Leads, Architects, Product Owners, and delivery teams to drive quality, testing,

Qualifications

• 7+ years of software engineering experience with production‑grade delivery.
• Experience delivering production‑grade software within complex engineering environments.
• Strong hands‑on expertise in Java and Spring Boot, with React or Angular.
• Proven experience designing and implementing RESTful APIs, microservices, integrations, platform services, and digital applications.
• Strong understanding of cloud‑native architectures, distributed systems, containerised environments, and modern integration patterns.
• Experience building event‑driven solutions using Kafka, RabbitMQ, or equivalent platforms.
• Demonstrated ability to lead software implementation within agile engineering teams or technical domains.
• Experience with CI/CD, automated testing, observability, and production support.
• Ability to convert specifications into actionable implementation plans and verified software.
• Strong code review and diff‑review capability, including validation of AI‑generated software outputs.
• Experience using AI‑assisted engineering tools and steering AI coding agents.
• Understanding of responsible AI practices, including validation, security, traceability, governance, and quality assurance.
• Excellent stakeholder engagement, coaching, collaboration, and communication skills.
• Strong focus on software quality, resilience, and continuous improvement.

Responsibilities

• Lead build execution within a squad, platform capability, or engineering domain.
• Translate specifications, designs, and architectural intent into clear implementation plans and verifiable engineering tasks.
• Decompose solution designs into small, sequenced, testable delivery increments.
• Guide engineers and AI coding agents through implementation, validation, and release activities.
• Deliver and oversee complex, high‑risk, or business‑critical software components.
• Review AI‑generated and engineer‑written code to ensure correctness, maintainability, security, and alignment with specifications.
• Drive engineering excellence through automated testing, contract testing, regression testing, observability, and production verification.
• Support CI/CD processes, deployment readiness, operational handover, runbooks, and service ownership.
• Ensure AI‑generated outputs are explainable, traceable, secure, and compliant with engineering standards.
• Escalate architectural ambiguity, cross‑domain risks, and decisions beyond agreed engineering guardrails.
• Identify recurring engineering or AI‑agent delivery issues and transform them into improved controls, guidance, and quality practices.
• Coach engineers on AI‑native software engineering, implementation planning, code review, testing practices, and responsible AI usage.
• Contribute to the evolution of AI‑native Software Development Life Cycle practices, developer experience, automation, and engineering productivity.

Skills

Java

Spring Boot

React

Angular

REST APIs

Microservices

Cloud-native

CI/CD

Observability

AI-assisted engineering

Tools

Kafka

RabbitMQ

Job description

VOIS is seeking a Lead AI Software Engineer to lead software implementation and engineering delivery across squads, platform capabilities, or engineering domains in the UK. This senior hands‑on role translates specifications into scalable, production‑ready software, combining strong software engineering with AI-native practices to deliver AI-generated code, tests, and docs.

You will collaborate with Technical Leads, Architects, Product Owners, and delivery teams to drive quality, testing,