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AI Full Stack Engineer at Airswift – London | Jobyssey

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AI Full Stack Engineer

AI Full Stack Engineer

Airswift · London, United Kingdom · 1 week ago

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Work mode: Hybrid
Seniority: Senior
Employment: Contract
Category: Fullstack
Visa sponsorship: No

agile ai api automation ci-cd cloud docker github github-actions github-copilot

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Contract (inside IR35) Senior/Lead full-stack engineer in London to build a large enterprise IT asset management platform end-to-end: React/TypeScript front end, Java APIs, PostgreSQL, Camunda-style workflows, CI/CD and containerised cloud delivery, using AI-assisted tools like GitHub Copilot. Hybrid, 3 days/week onsite at Canary Wharf; no sponsorship.

Senior or Lead Full Stack Engineer – AI-Assisted Development

Duration: ASAP – 31st December 2026 (extension possible through 2027, up to 24 months expected)

Workload: Full time hours

Setup: Day rate contract inside IR35

Sponsorship: Not Provided

Location: London, hybrid working with 3 days per week onsite at Canary Wharf

We are seeking a Senior or Lead Full Stack Engineer to help deliver a modern enterprise asset management platform, driving end-to-end development across front-end, back-end, workflow, and cloud delivery layers using AI-assisted engineering practices.

Key Responsibilities:

Design, develop, test and support full stack features across a large-scale enterprise platform.
Build responsive user interfaces using React and TypeScript.
Develop scalable Java-based backend services and APIs.
Create and optimise PostgreSQL database solutions.
Implement workflow-driven processes using Camunda or similar BPM platforms.
Contribute to CI/CD pipelines, automation, and containerised deployments.
Leverage AI-assisted development tools such as GitHub Copilot to accelerate delivery and improve engineering productivity.

Must-Have Skills:

Strong enterprise-level Full Stack Engineering experience.
React and TypeScript expertise.
Strong Java backend and API development experience.
PostgreSQL database knowledge.
Experience with CI/CD and GitHub Actions.
Experience working with AI-assisted coding tools and agile teams.

Nice-to-Have:

Camunda or other BPM/workflow platform experience.
Asset management or enterprise IT platform experience.
ServiceNow HAM/ITAM exposure.
Kubernetes, OpenShift or Docker experience.