Senior/Principal AI Software Engineer

Experis Austria; Greater London; On-site; GBP 128,000 - 168,000; Full time

Job summary

Experis - ManpowerGroup is seeking an AI Principal/Senior Software Engineer for a remote/ London-based contract. You will drive the design and delivery of agentic AI security applications in a Python/AWS environment, leading engineering teams and shaping architecture.

The role focuses on hands-on development, secure delivery, and building reusable AI-native components within a modern security automation program. A strong emphasis on CI/CD, observability, and security is required.

Qualifications

• Extensive hands-on software engineering leadership delivering complex systems at scale.
• Deep experience building agentic AI applications and related architectures.
• Strong Python software engineering background with cloud exposure.
• Practical knowledge of AI security and secure-by-default practices.

Responsibilities

• Lead the build of agentic AI security applications and APIs.
• Define target architectures and oversee production-quality delivery.
• Mentor engineers and raise standards across the team.
• Ensure DevSecOps practices are integrated with CI/CD pipelines.

Skills

Agentic AI

Python

LLM orchestration

RAG

LangGraph

DevSecOps

CI/CD

AWS

Tools

Bedrock

Containers

Infrastructure as Code

Terraform

Job description

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 agentic AI applications, including LLM orchestration, Retrieval Augmented Generation (RAG), tool and function calling, MCP, memory, evaluation and agent harnesses.
• Strong Python software engineering experience.
• Demonstrable knowledge and experience with LangGraph and agentic development frameworks.
• Experience implementing or evolving engineering standards, DevSecOps practices and secure development lifecycles.
• Strong understanding of CI/CD platforms, pipelines and modern software engineering practices.
• Experience defining or evolving an engineering operating model, ideally an AI-native model built around agentic harnesses and automation.
• Experience delivering solutions on AWS, ideally with Amazon Bedrock, containers and Infrastructure as Code.
• A solid grounding in secure-by-default engineering, observability and production operability.
• Practical knowledge of AI security practices, including the OWASP Top 10 for LLM and Generative AI applications and OWASP guidance for agentic AI.
• Previous experience working within Information Security or Security engineering environments would be beneficial.
• Frontend development experience would be advantageous.

Working arrangements

Flexible approach to onsite working, with remote working available depending on experience and suitability for the role.