At a Glance
- Tasks: Design and build innovative AI-powered applications using cutting-edge technology.
- Company: Join a leading digital transformation consultancy focused on Generative AI.
- Benefits: Competitive salary, bonus, hybrid work, and strong career progression.
- Other info: Exciting growth opportunities in a dynamic team environment.
- Why this job: Be at the forefront of AI innovation and tackle complex challenges.
- Qualifications: Experience in backend development, microservices, and Generative AI frameworks.
The predicted salary is between 55000 - 85000 £ per year.
Location: Manchester (Hybrid, 2 days per week in office)
Salary: £55,000 to £85,000 + Bonus + Benefits
Type: Permanent
Hiring: Mid Level and Senior Engineers
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 Generative AI applications and scalable full stack solutions. Due to continued growth and project demand, we are hiring multiple engineers across mid level and senior positions.
Salary Bands
- Mid Level GenAI Full Stack Engineer: £55,000 to £70,000
- Senior GenAI Full Stack Engineer: £75,000 to £85,000 + £4,000 Bonus
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, delivering innovative solutions for complex client challenges. You will build Generative AI proof of concepts using modern frameworks and scale prototypes into production ready applications. You will design and develop full stack applications across both GenAI and traditional software projects while working closely with cross functional teams. Senior engineers will also contribute to architecture decisions, mentor junior engineers and help shape best practices across the engineering team.
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
For Senior Candidates
- Experience leading technical delivery or owning solutions end to end
- Experience contributing to architecture and engineering decisions
- Mentoring or supporting junior engineers
- Experience delivering production grade GenAI applications
Eligibility
- Must be eligible to work in the UK
- Must be eligible for UK Security Clearance
This is a fantastic opportunity to join a fast growing team working on cutting edge Generative AI solutions with strong career progression opportunities at both mid and senior level. Apply now to learn more.
Generative AI Engineer in Manchester employer: 83zero
Join a leading digital transformation consultancy in Manchester, where innovation meets opportunity. As a GenAI Full Stack Engineer, you'll thrive in a collaborative hybrid work environment, benefiting from competitive salaries, bonuses, and a strong focus on employee growth through mentorship and hands-on experience with cutting-edge technology. This is not just a job; it's a chance to be part of a dynamic team shaping the future of AI applications while enjoying a supportive culture that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer in Manchester
✨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 related to Generative AI. This will give you an edge during interviews and help us see your practical experience in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on relevant frameworks and languages. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Generative AI Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your backend development experience with Python or TypeScript, and don’t forget to showcase any work with Generative AI frameworks!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about Generative AI and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing real-world applications of your skills, especially in building scalable full stack solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at 83zero
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, FastAPI, and React. Brush up on your knowledge of Generative AI frameworks and microservices architectures, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've built or contributed to AI applications. Highlight your role in the development lifecycle, from proof of concept to production deployment, and be ready to explain the challenges you faced and how you overcame them.
✨Ask Insightful Questions
Demonstrate your interest in the company and the role by asking thoughtful questions. Inquire about their current projects, team dynamics, and how they approach architecture decisions. This shows you’re not just looking for any job, but are genuinely interested in contributing to their success.
✨Be Ready to Collaborate
Since the role involves working closely with cross-functional teams, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve mentored junior engineers or contributed to team best practices, especially if you're applying for a senior position.
