Senior Solution Engineer
Role details
Job location
Tech stack
Job description
We are seeking an experienced AI Developer to design, build, and deploy AI-powered applications using modern Python-based frameworks and leading Large Language Model (LLM) APIs. You will play a key role in developing scalable, secure, and production-ready AI services hosted in Azure's public cloud., * Design, develop, and maintain AI-driven applications and services using Python.
- Build and maintain RESTful APIs using FastAPI.
- Integrate and manage Large Language Models via:
- OpenAI API.
- Claude (Anthropic) API.
- Implement robust data access layers using SQLAlchemy.
- Optimise performance and scalability using Redis for caching, session management, or task coordination.
- Develop analytical dashboards and lightweight user interfaces using Dash.
- Deploy, configure, and maintain applications in Azure App Services (Public Cloud).
- Ensure solutions meet security, performance, and reliability standards.
- Collaborate with product owners, data engineers, and stakeholders to translate business needs into AI solutions.
- Write clean, maintainable, well-documented code and contribute to technical best practices.
- Monitor, troubleshoot, and improve live AI systems.
Requirements
Do you have experience in Terraform?, Do you have a Master's degree?, * Strong commercial experience with Python.
- Proven experience building APIs with FastAPI.
- Hands-on experience integrating LLMs using:
- OpenAI API.
- Claude API (or demonstrable experience with alternative LLM providers).
- Experience working with relational databases using SQLAlchemy.
- Practical experience using Redis.
- Experience building dashboards or internal tools using Dash.
- Experience deploying and running applications on Azure App Services.
- Solid understanding of REST APIs, authentication, and secure application design.
- Familiarity with cloud-native development and production environments.
Desirable / Nice-to-Have Skills
- Experience with prompt engineering and LLM optimisation techniques
- Understanding of AI safety, data privacy, and governance considerations
- Experience with background workers, queues, or async processing
- CI/CD pipelines and Infrastructure-as-Code (e.g. GitHub Actions, Bicep, Terraform)
- Experience with monitoring, logging, and observability in Azure
- Exposure to other AI/ML frameworks or vector databases
- Experience in use of Docker containers
- Team leadership and mentoring
- Agile Software development
Benefits & conditions
With support, coaching and feedback from some of the most engaging colleagues around our great development and progression opportunities will reward your commitment and loyalty. We offer a competitive remuneration package where you'll be rewarded for your individual performance with an opportunity to receive an annual bonus.
In addition, we have a wide range of learning and development opportunities via our Learn platform to develop new skills and progress your career. Our My Flex comprehensive rewards package includes options covering annual leave (and the benefit of purchasing extra days), cycle to work, critical illness benefit, employee assistance programme, group personal pension, health care, season ticket loan and many more benefits (grade dependent).
Finally, with Perks At Work/Home you can select a host of retail benefits that suit your needs alongside a Community Online Academy, free courses for all from fitness to coding to languages to hip hop dance.