AI Software Engineer
Listed on 2026-08-30
-
Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer, Machine Learning/ ML Engineer
AI Software Engineer
- Leicester
- Hybrid (2 days a week in office) - £75,000
We're partnered with a forward-thinking software company that is embedding Artificial Intelligence throughout its product suite and is looking for an AI Software Engineer to join its expanding engineering team. You'll work alongside talented Software Engineers and AI specialists to develop scalable applications powered by Machine Learning and Generative AI technologies. The business is focused on delivering practical AI solutions rather than experimental research, making this an excellent opportunity for an engineer wanting to specialise in AI development.
Whatyou'll be doing
- Develop production-ready AI-enabled software applications.
- Build and maintain backend services supporting LLM and ML functionality.
- Integrate OpenAI, Anthropic and other AI models into enterprise software.
- Create scalable APIs and microservices for intelligent applications.
- Work with cloud infrastructure to deploy and monitor AI workloads.
- Collaborate across Engineering, Data and Product teams on new AI initiatives.
- Python
- C#/.NET
- Azure or AWS
- OpenAI APIs
- LLMs
- Machine Learning
- FastAPI
- NET Core
- SQL
- Docker
- Kubernetes
- CI/CD
- Strong software engineering background in Python, C# or similar.
- Experience developing cloud-based backend applications.
- Exposure to AI, Machine Learning or Generative AI in commercial projects.
- Understanding of APIs, distributed systems and scalable architecture.
- Passion for AI and enthusiasm to continuously learn emerging technologies.
- Salary up to £75,000 DOE.
- Flexible hybrid working options.
- Dedicated investment into AI and engineering innovation.
- Modern tech stack with exposure to leading AI platforms.
- Clear progression into Senior AI Engineering positions.
This is an excellent opportunity for a Software Engineer looking to move into a dedicated AI Engineering career, working on intelligent applications that are already delivering measurable value to customers.
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