Senior GenAI Full Stack Engineer

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London / £500 - £700 day

INFO

Salary

RATE:

£500 - £700

Location

LOCATION

London

Job Type
JOB TYPE

Contract

Senior GenAI Full Stack Engineer

London or Norwich
3 Days in Office
Inside IR35
£500 - £700 Per Day
Start Immediately

The Company

They 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
Your Skills & Experience
  • 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 TypeScript
  • 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
How to Apply

If you are interested in building full stack AI systems that deliver real-world impact, please apply with your CV.

CONTACT

Lotte Freeman

Recruitment Executive

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