At a Glance
- Tasks: Create cutting-edge AI systems that solve real-world problems using large datasets.
- Company: Rapidly growing tech company focused on innovative AI solutions.
- Benefits: Competitive salary, annual bonus, comprehensive benefits, and hybrid working.
- Other info: Collaborative culture with opportunities for technical ownership and career growth.
- Why this job: Join a high-performing team and make a real impact in AI technology.
- Qualifications: 6+ years in backend software development with strong Python skills.
The predicted salary is between 80000 - 98000 £ per year.
Our client is a rapidly scaling technology business building intelligent software platforms that leverage AI to solve complex, data-intensive problems at scale. They are 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 will 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 will design and develop intelligent systems that reason, plan and interact with large, complex datasets using modern LLM frameworks. You will 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 are 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 LangGraph, 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 are excited by the challenge of building production AI systems at scale, please click apply to learn more.
