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AI Developer (Fullstack) | Inside IR35 | Hybrid

Korn Ferry · City of London/Sheffield, UK · Hybrid · Senior

  • City of London/Sheffield, UK · Hybrid
  • 6 months

Indexiert (vor 4 Tagen) · laufend aktualisiert

Start
flexible
Laufzeit
6 months
Arbeitsmodell
Hybrid
Vertrag
Freelance / B2B
Erfahrungslevel
Senior
Referenz
489903439-1

Jobbeschreibung

Contract Duration: 6 months initial IR35 Determination: Inside Rate: Up to £650 per day Location: Hybrid 1-2 days on site per week - either from London or Sheffield office Our client is looking to hire an AI Developer (Fullstack) to join them on an initial 6-month contract. This role is focused on immediate, hands-on delivery, applying AI driven software eng

Project details

6 months initial

IR35 Determination: Inside

Up to £650 per day

Hybrid 1-2 days on site per week - either from London or Sheffield office

Our client is looking to hire an AI Developer (Fullstack) to join them on an initial 6-month contract. This role is focused on immediate, hands-on delivery, applying AI driven software engineering to build and ship product outcomes.

The successful candidate will bring a strong full-stack engineering background, practical cloud infrastructure capability, and a modern understanding of AI-driven development practices. They will contribute directly to the delivery of current product outcomes, applying AI-first techniques to build, test, and ship software.

Key Responsibilities

Key Accountabilities

Essential Skills and Experience

Desirable Skills and Experience

  • Design, develop, and maintain scalable software solutions across Front End and Back End services.
  • Contribute to the delivery of key product and project milestones as part of a multidisciplinary engineering team.
  • Build and support cloud-native solutions using AWS services and modern deployment practices.
  • Apply AI-assisted development techniques to improve speed, quality, and consistency across the software development life cycle.
  • Contribute to specification-driven development approaches, helping translate business and product intent into structured engineering outputs.
  • Apply modern engineering practices including CI/CD, automated testing, and infrastructure-as-code in day-to-day delivery.
  • Work closely with Product, Delivery, QA, and Platform colleagues to ensure solutions are robust, maintainable, and aligned to delivery goals.
  • Identify opportunities to improve development efficiency through the practical use of AI tooling and workflow optimisation.
  • Delivering high-quality code and technical solutions aligned to agreed requirements and timescales.
  • Supporting continuity of delivery across existing engineering workstreams.
  • Bringing practical knowledge of AI-enabled development into day-to-day team workflows.
  • Ensuring solutions are secure, scalable, supportable, and aligned to architectural standards.
  • Helping reduce delivery risk, rework, and inefficiencies through modern engineering practices.
  • Strong experience in full-stack software development, with capability across both Front End and Back End technologies.
  • Proven experience with modern Front End frameworks such as React, Vue, Angular, or similar.
  • Strong Back End development skills, including API design and service-based architecture.
  • Proficiency in one or more Back End languages such as Python, Node.js, Java, or equivalent.
  • Hands-on experience with AWS and cloud-native development, including relevant managed services.
  • Experience working with CI/CD pipelines, version control, and modern release practices.
  • Good understanding of software engineering fundamentals including testing, maintainability, performance, and security.
  • Experience working in agile product or project delivery environments.
  • Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams.
  • Experience with AI-assisted development tools and workflows.
  • Knowledge of specification-driven development approaches.
  • Experience using tools such as Kiro or similar AI-enabled engineering platforms.
  • Familiarity with LLMs and their practical application within software delivery.
  • Experience with infrastructure-as-code and automated deployment tooling.
  • Start: flexible
  • Duration: 6 months
  • Location: City of London/Sheffield, UK, GB

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