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- Tasks: Design and develop AI applications using Python and modern frameworks.
- Company: Join Gateley, a forward-thinking legal and professional services group.
- Benefits: Enjoy competitive pay, flexible working, and extensive learning opportunities.
- Why this job: Make an impact with cutting-edge AI technology in a dynamic team.
- Qualifications: Strong Python skills and experience with APIs and cloud deployment.
- Other info: Diverse and inclusive culture with great career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
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. This role is hands-on and suited to someone who enjoys working across the full development lifecycle—from API design and data access through to AI integration and cloud deployment.
Key Responsibilities
- 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 and 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.
Essential Skills & Experience
- Strong commercial experience with Python.
- Proven experience building APIs with FastAPI.
- Hands-on experience integrating LLMs using OpenAI API and 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.
About Us
The benefits include support, coaching, and feedback from engaging colleagues, competitive remuneration, and a wide range of learning and development opportunities. Our My Flex comprehensive rewards package includes options covering annual leave, cycle to work, critical illness benefit, employee assistance programme, group personal pension, health care, season ticket loan, and many more benefits.
We are forward-thinking and straight-talking, finding solutions to the problems that our clients face. Gateley is a legal and professional services group, passionate problem solvers supporting over 5,700 active clients, ranging from FTSE 100 companies to private individuals.
Diversity, inclusion, and well-being are important parts of Gateley's culture and values. We recruit talented people from diverse backgrounds and cultures, providing equal opportunities for all. We offer flexible working patterns to help our staff achieve a good work/life balance.
If you are successful in receiving an offer of a role with our company, a variety of pre-employment screening checks will be completed.
Senior Solution Engineer in Birmingham employer: Gateley Plc
Contact Detail:
Gateley Plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solution Engineer in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI development. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Solution Engineer in Birmingham
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Solution Engineer role. Highlight your experience with Python, FastAPI, and LLMs, as these are key to what we’re looking for!
Showcase Your Projects: Include examples of your previous work that demonstrate your skills in building APIs and deploying applications on Azure. We love seeing real-world applications of your expertise!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and how they relate to the role. We appreciate well-structured applications!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Gateley Plc
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, FastAPI, and Azure. Brush up on your experience with LLMs like OpenAI and Claude APIs, as well as SQLAlchemy and Redis. Being able to discuss these tools confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in previous projects, particularly those involving AI integration or API development. Use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help demonstrate your analytical thinking and ability to deliver practical solutions.
✨Understand the Company Culture
Familiarise yourself with Gateley’s values and team spirit. They value ambition, collaboration, and forward-thinking. Be ready to discuss how your personal values align with theirs and how you can contribute to their culture. This shows that you’re not just a fit for the role, but also for the team.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of your interview. Inquire about the team dynamics, ongoing projects, or how they measure success in this role. This not only shows your interest in the position but also helps you gauge if the company is the right fit for you.