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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 London 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 London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on 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 AI and full stack development. This gives you a chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly, as communication is key in this role. Mock interviews can help you feel more confident and ready.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our team and show your enthusiasm for joining us.
We think you need these skills to ace AI Engineer in London
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 to catch our eye!
Showcase Your Projects: Include examples of projects where you've integrated AI technologies or worked with large language models. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. We appreciate a well-structured application that gets straight to the point!
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, we can’t wait to see what you bring to the table!
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 services. 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 simple terms, as you’ll need to gather requirements from clients and collaborate with your team. Think of ways to demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨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 think aloud as you work through a problem. This will showcase your approach to coding quality and best practices.