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Senior AI Software Engineer

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Senior AI Software Engineer
Location: UK Remote (with occasional office collaboration encouraged)
Contract length: 6 months
Rate: Up to £650 p/d via Umbrella
Shape the Future of AI-Driven Software Development
We're embarking on a significant AI transformation programme that will redefine how secure software is developed, delivered and maintained across our organisation.
As a Senior AI Software Engineer, you'll play a key role in designing and building AI-native applications that automate and enhance critical Information Security and Software Development Lifecycle (SDLC) processes. This is a rare opportunity to work at the forefront of agentic AI, helping deliver innovative solutions that have a measurable impact across the business.
Working within a highly skilled engineering team, you'll contribute to the design, development, deployment and continuous improvement of cutting-edge AI solutions powered by modern cloud and AI technologies.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What You'll Be Doing
- Designing and developing AI-native applications using Python and modern AI frameworks.
- Building intelligent, agent-based solutions that automate and optimise security and software engineering processes.
- Developing scalable solutions leveraging AWS, Bedrock, LangGraph and LangSmith.
- Contributing to solution design and technical decision-making within an established architecture.
- Collaborating with engineers, security specialists and stakeholders to deliver high-quality AI solutions.
- Driving engineering best practices across application development, testing and deployment.
- Supporting the continuous evolution of our AI capabilities through research, experimentation and innovation.
- Contributing to backlog refinement, technical planning and delivery activities.
What We're Looking For
Essential Skills & Experience
- Strong commercial experience developing software applications in Python.
- Hands-on experience building AI or LLM-powered applications.
- Good understanding of:
- Agentic AI frameworks
- Retrieval Augmented Generation (RAG)
- Large Language Models (LLMs)
- AI application design patterns
- Experience working with cloud platforms, ideally AWS.
- Strong software engineering fundamentals, including:
- Application architecture and design
- CI/CD pipelines
- Testing and deployment best practices
- Secure software development principles
- Ability to contribute to technical design discussions and solution development.
- Strong problem-solving skills and an innovative mindset.


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Desirable Experience
- Experience with AWS Bedrock, LangGraph and/or LangSmith.
- Frontend development experience.
- Exposure to Information Security or secure software development environments.
- Experience working on AI transformation, automation or productivity-focused initiatives.
- Knowledge of low-level architecture and system design principles.
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