At a Glance
- Tasks: Design and develop cutting-edge AI systems using large language models.
- Company: Rapidly scaling tech company focused on innovative AI solutions.
- Benefits: Competitive salary, annual bonus, comprehensive benefits, and hybrid working.
- Other info: Opportunity for career growth and influence on AI strategy.
- Why this job: Join a collaborative team and build impactful AI products from concept to deployment.
- Qualifications: 6+ years in backend software development with strong Python skills.
The predicted salary is between 80000 - 98000 £ per year.
Senior AI Software Engineer | High-Growth Technology Company | Hybrid (Oxford) | Competitive Salary + Bonus
The Company
Our client is a rapidly scaling technology business building intelligent software platforms that leverage AI to solve complex, data-intensive problems at scale.
They're investing heavily in the next generation of AI capabilities, combining large language models with vast, continually evolving datasets to build systems that deliver meaningful, real-world outcomes.
Working with massive volumes of structured and unstructured data, you'll be creating AI products with an exciting real world use-case.
Why this role stands out
- Build production-grade AI systems using the latest LLM and agentic AI technologies
- Work with complex, large-scale datasets in a genuinely engineering-led environment
- Own products from concept through to production deployment
- Join a high-performing team shipping code multiple times a day
- Hybrid working from Oxford with excellent benefits and long-term progression
The Role
This is a builder's role focused on turning cutting-edge AI into production software.
As a Senior AI Software Engineer, you'll design and develop intelligent systems that reason, plan and interact with large, complex datasets using modern LLM frameworks.
You'll work across the full software lifecycle, collaborating closely with engineering, data and domain specialists to build scalable AI applications that solve challenging real-world problems.
This role combines backend software engineering with applied AI, making it ideal for engineers who enjoy building robust systems rather than simply experimenting with models.
- What You'll Be Building
- Production AI applications powered by LLMs and agentic workflows
- Intelligent software capable of navigating large, fast-changing datasets
- Scalable backend services that integrate AI into real-world products
- Engineering practices centred around automation, testing and rapid delivery
- AI systems designed for reliability, observability and long-term maintainability
- A collaborative engineering culture focused on innovation and technical excellence
- Your Experience
We're looking for an experienced software engineer who enjoys building production AI systems and thrives in fast-paced, high-ownership environments.
Essential Experience
- 6+ years developing large-scale backend software
- Strong commercial experience with Python
- Experience building and shipping production software from concept through deployment
- Strong understanding of software engineering best practices, testing and automation
- Experience leading or mentoring engineering teams
- Comfortable working in highly technical, product-led environments
- Nice to Have
- Hands-on experience building LLM or agentic AI applications
- Experience with frameworks such as Lang Graph, RAG or MCP
- Understanding of MLOps and AI deployment practices
- Experience testing and evaluating non-deterministic AI systems
- Infrastructure as Code and cloud platform experience, ideally AWS
Why Join?
- Competitive salary, annual bonus and comprehensive benefits package
- Opportunity to build production AI systems using the latest LLM technologies
- Work on complex engineering challenges involving large-scale, rapidly evolving datasets
- Collaborative, low-ego engineering culture with genuine technical ownership
- Hybrid working model based in Oxford with flexibility
- Clear opportunity to influence architecture, AI strategy and the future direction of next-generation intelligent software
If this opportunity aligns with your experience and you're excited by the challenge of building production AI systems at scale, please click apply to learn more.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Banbury
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at KDR Talent Solutions or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to KDR Talent Solutions.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like KDR Talent Solutions.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like KDR Talent Solutions that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Artificial Intelligence Engineer in Banbury
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at KDR Talent Solutions.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at KDR Talent Solutions and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at KDR Talent Solutions
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If KDR Talent Solutions uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
