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- Tasks: Design and develop cutting-edge AI solutions with a dynamic team.
- Company: Join a tech consultancy that empowers organisations through innovative technology.
- Benefits: Up to £70,000 salary, hybrid working, and great benefits.
- Other info: Exciting opportunities for growth in a collaborative environment.
- Why this job: Be at the forefront of AI development and make a real-world impact.
- Qualifications: Experience in full stack development and cloud services is essential.
The predicted salary is between 60000 - 70000 £ per year.
Location: London (preferred) or Manchester – hybrid working arrangement
Salary: Up to £70,000 DOE + Benefits
CV Technical are partnered with a technology consultancy and managed services provider that helps organisations improve how they use technology to achieve their goals.
The Role:
This role is suited to a curious, hands-on developer who wants to work at the cutting edge of AI-driven software development. You will join a small, agile team building real-world applications that incorporate large language models, agent based systems, and cloud based AI services. The role requires someone who enjoys experimenting, learning quickly, and applying new technologies in practical ways.
Responsibilities:
- Design, develop, and deploy AI-enabled solutions using modern full stack technologies
- Integrate cloud-based AI services (e.g. language models, machine learning, search, and cognitive APIs) into production systems
- Build and enhance features powered by large language models, including agent-style workflows and contextual integrations
- Work closely with clients to gather requirements and translate them into functional software solutions
- Contribute to technical discovery, prototyping, and proof-of-concept work to support new opportunities
- Develop internal tools, reusable components, and accelerators focused on AI use cases
- Research and evaluate emerging technologies, frameworks, and development approaches
Experience Required:
- Full stack development experience with: React/Node.js, .NET/C#, Python/FastAPI
- Hands-on experience with Azure cloud services and CI/CD pipelines (Azure DevOps)
- Demonstrable ability to learn new technologies quickly and apply them effectively
- Strong problem-solving skills with a focus on code quality and best practices
- Comfortable working both independently and as part of a collaborative team
- Strong communication skills, with the ability to explain technical concepts clearly
Desired Skills:
- Experience with LLM integration, prompt engineering, or agent-based AI development
- Familiarity with AI-assisted development tools such as GitHub Copilot, Claude, or Cursor
- Azure AI Engineer certification or equivalent practical experience
- Understanding of MCP, RAG architectures, or vector databases
Candidates must be able to work in the UK without the need for sponsorship currently or in the future. You must be within a commutable distance from either office as you will be in the office a minimum of 2 days per week.
AI Engineer in Chesterfield employer: CV Technical Ltd
Contact Detail:
CV Technical Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Chesterfield
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at local meetups. 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 AI and cloud services. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle coding challenges and explain your thought process clearly. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for curious minds like yours. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Engineer in Chesterfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your full stack development experience and any hands-on work with Azure cloud services. We want to see how you can bring your unique flair to our team!
Showcase Your Projects: Include examples of projects where you've integrated AI technologies or worked with large language models. This is your chance to show us your problem-solving skills and creativity in action. Don't hold back on the details!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your technical skills and experiences. We appreciate a well-structured application that makes it easy for us to see your potential.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen to join the StudySmarter family!
How to prepare for a job interview at CV Technical Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like React, Node.js, and Azure. Brush up on your full stack development skills and be ready to discuss how you've used these technologies in past projects.
✨Show Your Curiosity
This role is all about experimenting and learning quickly. Be prepared to share examples of how you've tackled new technologies or solved complex problems. Highlight your hands-on experience with AI-driven solutions and your eagerness to explore emerging tech.
✨Communicate Clearly
Strong communication skills are key for this position. Practice explaining technical concepts in a straightforward way, as you’ll need to gather requirements from clients and collaborate with your team. Think of examples where you’ve successfully communicated complex ideas.
✨Prepare for Problem-Solving Questions
Expect to face some coding challenges or problem-solving scenarios during the interview. Brush up on your coding skills and be ready to demonstrate your thought process. Show how you approach problems methodically and focus on code quality and best practices.