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For Companies At a Glance
- Tasks: Design and deploy AI applications using Python and modern frameworks.
- Company: Join Gateley, a forward-thinking legal and professional services group.
- Benefits: Competitive salary, annual bonus, flexible working, and extensive learning opportunities.
- Why this job: Make an impact with cutting-edge AI technology in a dynamic team.
- Qualifications: Experience in Python, API development, and cloud deployment required.
- Other info: Diverse and inclusive culture with excellent 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.
The team
Gateley Plc has a dynamic and collaborative IT department. We have grown our team to over 60 staff members in total across IT Service, Infrastructure, Architecture, Security, Change Management, Development, Innovation and Client Solutions. Our Solution Engineering team plays a pivotal role in designing and delivering cutting-edge solutions that enable our business to work smarter and faster. This team works closely with stakeholders to translate complex requirements into practical, scalable technology solutions that support our growth and enhance client experience.
The person
Candidates will be able to demonstrate the following attributes:
- 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.
- 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.
About Us
The benefits include support, coaching and feedback from engaging colleagues, competitive remuneration, learning and development opportunities, and a comprehensive rewards package. We offer flexible working patterns to help our staff achieve a good work/life balance and encourage candidates seeking flexibility to apply for any of our vacancies.
Diversity, inclusion and well-being is an important part of Gateley’s culture and values. We recruit talented people from diverse backgrounds and cultures, providing equal opportunities for all to join our team regardless of age, sex, race, sexual orientation, disability, or culture.
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 Manchester employer: Gateley
Contact Detail:
Gateley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Solution Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, APIs, and AI integrations. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, FastAPI, and Azure. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨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 genuinely interested in joining our team at Gateley.
We think you need these skills to ace Senior Solution Engineer in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Python, FastAPI, and LLMs. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Projects: If you've worked on any AI-driven applications or built APIs, include them in your application. We love seeing real examples of your work, especially if they demonstrate your hands-on experience with Azure and SQLAlchemy.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate well-structured documents that are easy to read, so make sure your key achievements stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Gateley
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the frameworks mentioned in the job description, especially FastAPI. Brush up on your experience with LLMs like OpenAI and Claude APIs, as well as SQLAlchemy and Redis. Being able to discuss specific projects where you've used these technologies will show your hands-on experience.
✨Demonstrate Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles, particularly around AI integration and cloud deployment. Think about times when you optimised performance or improved system reliability, and be ready to explain your thought process and the outcomes.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product owners and stakeholders, be prepared to discuss how you’ve successfully collaborated in the past. Highlight any experiences where you translated complex requirements into practical solutions, as this will resonate well with the team’s dynamic approach.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company and its culture. Inquire about their approach to diversity and inclusion, or how they support continuous learning and development. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.