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- Tasks: Design and build AI-powered applications using cutting-edge technology.
- Company: Join a leading digital transformation consultancy focused on innovative solutions.
- Benefits: Competitive salary, hybrid work model, and great career development opportunities.
- Other info: Work in a dynamic team with excellent growth potential.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Experience in backend development, microservices, and Generative AI frameworks.
The predicted salary is between 45000 - 55000 £ per year.
Location: London (Hybrid, 2 days per week in office)
Salary: £45,000 to £55,000 + Benefits
Type: Permanent
About the Company
We are partnering with a leading digital transformation and technology consultancy that helps organisations solve complex business challenges through cutting edge technology, AI and data driven solutions. This is an exciting opportunity to join a growing team focused on building next generation GenAI applications and scalable full stack solutions.
The Role
As a GenAI Full Stack Engineer, you will play a key role in designing, building and scaling AI powered applications. You will work across the full development lifecycle from proof of concept through to production deployment. You will build Generative AI proof of concepts using modern frameworks and tools and scale prototypes into production ready applications. You will design and develop full stack applications across both GenAI and traditional software projects.
Required Skills and Experience
- Backend development using Python with FastAPI or TypeScript with Node.js or Express
- Experience building microservices architectures
- React and TypeScript front end development experience
- Familiarity with Next.js or Vite
- Experience with Generative AI frameworks such as LangChain, LangGraph or CrewAI
- Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral
- Exposure to Retrieval Augmented Generation or AI agents is beneficial
- Experience with AWS or Azure
- Docker and containerisation experience, Kubernetes beneficial
- Experience with CI CD pipelines using GitHub, GitLab or Jenkins
Eligibility
- Must be eligible to work in the UK
- Must be eligible for UK Security Clearance
AI Engineer employer: 83zero Ltd
Contact Detail:
83zero Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and full stack development. We want to see your work in action, so make it easy for potential employers to check it out.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of microservices architectures. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, FastAPI, and any Generative AI frameworks you've worked with. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and full stack development, and explain why you’re excited about this opportunity with us. Keep it concise but impactful!
Showcase Your Projects: If you've built any projects related to Generative AI or full stack applications, make sure to mention them. We love seeing real examples of your work, so don’t hold back on sharing your GitHub or portfolio links!
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’s super easy!
How to prepare for a job interview at 83zero Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your Python, FastAPI, and TypeScript skills, as well as your experience with microservices and front-end frameworks like React. Being able to discuss specific projects where you've used these technologies will really impress the interviewers.
✨Showcase Your AI Knowledge
Since this role focuses on Generative AI, be prepared to talk about your experience with frameworks like LangChain or LangGraph. Bring examples of how you've built proof of concepts or scaled applications using AI. This will demonstrate your hands-on experience and passion for the field.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice coding problems related to backend development and microservices. Use platforms like LeetCode or HackerRank to sharpen your skills. Being able to think on your feet and solve problems will show that you're ready for the fast-paced environment.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the company’s approach to AI and their tech stack. Inquire about their current projects or future plans for Generative AI applications. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.