Senior/Principal AI Software Engineer
| Company: | Experis |
|---|---|
| Salary: | £600 to £800 a day |
| Hours: | Full-time |
| Location: | London, W1T 7NF |
| Job type: | Contract |
| Posting date: | 22 Sept 2026 |
| Closing date: | 29 Sept 2026 |
Summary
AI Principal/Senior Software Engineer x2
Inside IR35 Contract
Rate: up to £800/day
Location: Remote/London
Duration: 6 months initially
Description:
The opportunity
This is a contract engagement supporting a major Information Security AI transformation, a large programme that is modernising and automating the security operating model with agentic AI.
We are looking for both a Principal and Senior hands-on engineer to drive the build of a portfolio of agentic AI security applications, defining the solution architecture and contributing to the most complex components of the solution and system design.
You would work with a good degree of autonomy to deliver a defined set of outcomes across complex and current problems in AI security. You will collaborate with software and solution architects to define target architectures, coordinate the workloads of software engineers, and remain hands-on throughout the development lifecycle.
The role will have a strong software engineering focus, building AI-native applications and agentic solutions, primarily within a
Python and AWS environment.
What you would deliver
- Technical leadership of the build, turning target architecture into production-quality software across a portfolio of agentic AI applications, APIs and services.
- Engineering standards, DevSecOps practices and a secure development lifecycle, integrated with the organisation's established central CI/CD platform, pipelines and golden paths.
- An AI-native software delivery operating model built on agentic harnesses and automation.
- Reusable frameworks, libraries and platform capabilities that accelerate delivery and ensure security is built in by default.
- Delivery of the most complex components and integrations across the agentic AI roadmap.
- Contribution to solution and low-level architecture, working alongside established software and solution architects.
- Technical assurance through code review, quality standards and mentoring to raise engineering standards across the wider team.
- Hands-on development of AI-native applications incorporating agentic logic.
Skills and experience
- Extensive practical software engineering experience, including technically leading engineering teams and delivering complex, production-quality systems at scale.
- Deep, current experience building
- Strong
- Demonstrable knowledge and experience with
- Experience implementing or evolving engineering standards,
- Strong understanding of
- Experience defining or evolving an engineering operating model, ideally an AI-native model built around agentic harnesses and automation.
- Experience delivering solutions on
- A solid grounding in secure-by-default engineering, observability and production operability.
- Practical knowledge of AI security practices, including the
- Previous experience working within
- Frontend development experience would be advantageous.
agentic AI applications, including LLM orchestration, Retrieval Augmented Generation (RAG), tool and function calling, MCP, memory, evaluation and agent harnesses.
Python software engineering experience.
LangGraph and agentic development frameworks.
DevSecOps practices and secure development lifecycles.
CI/CD platforms, pipelines and modern software engineering practices.
AWS, ideally with Amazon Bedrock, containers and Infrastructure as Code.
OWASP Top 10 for LLM and Generative AI applications and OWASP guidance for agentic AI.
Information Security or Security engineering environments would be beneficial.
Working arrangements
Flexible approach to onsite working, with remote working available depending on experience and suitability for the role.
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
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