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Senior GenAI Full Stack Engineer
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-07-27
Listing for:
Harnham
Full Time
position Listed on 2026-07-27
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Backend Developer, Full Stack Developer, Cloud Engineer - Software
Job Description & How to Apply Below
Senior GenAI Full Stack Engineer
London or Norwich
3 Days in Office
Inside IR35
£500 - £700 Per Day
Start Immediately
The CompanyThey are a large, well-established organisation investing heavily in AI and data capabilities to transform how they serve customers and operate internally. Their technology environment is modern and cloud-first, with a strong focus on building production-ready, enterprise-grade AI systems. Teams are highly collaborative, bringing together engineering, product, and business stakeholders to deliver measurable outcomes. This is a chance to contribute to a growing AI ecosystem supported by dedicated platforms and tooling.
The Role and Deliverables- Design, build, and deploy full stack AI applications that integrate generative AI services into real-world use cases
- Develop backend services and microservices using cloud-native architectures, ensuring performance and scalability
- Build and enhance frontend interfaces that enable intuitive AI-driven user experiences
- Integrate LLMs, RAG pipelines, and AI services into applications using API-led and event-driven approaches
- Take ownership of end-to-end delivery, including development, CI/CD, deployment, and ongoing optimisation
- Implement observability, monitoring, and logging to support reliable production AI systems
- Strong software engineering experience across both backend and frontend development
- Proven capability building production-grade applications with embedded AI functionality
- Backend development skills using Python and experience working with distributed or microservice systems
- Frontend development experience with modern frameworks such as React, Next.js, and Type Script
- Experience designing and integrating AI systems, including LLMs, RAG, and prompt-driven workflows
- Strong understanding of cloud platforms, particularly AWS, and deploying applications using containerisation tools such as Docker and Kubernetes
- Experience working with APIs, including REST and event-driven architectures
- Solid understanding of non-functional requirements such as scalability, security, performance, and observability
Position Requirements
10+ Years
work experience
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