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- Tasks: Develop and implement cutting-edge Generative AI solutions using Python and LLMs.
- Company: Join a leading global consultancy known for high-impact projects and innovative technology.
- Benefits: Enjoy a hybrid work model, competitive salary, and exciting corporate perks.
- Why this job: Be part of transformative projects that shape the future of technology and client success.
- Qualifications: Experience in fullstack development with a focus on Generative AI and Python required.
- Other info: Work from Manchester, London, or Glasgow HQ and collaborate with top industry experts.
The predicted salary is between 39600 - 66000 £ per year.
Fullstack GenAI Developer (Python / LLMs / GenAI)
?? Hybrid | Manchester, London, or Glasgow HQ
?? Up to £55,000 + Benefits
?? Global Consultancy | High-Impact Projects | Cutting-Edge Tech
Are you a fullstack developer with a passion for Generative AI? Do you thrive at the intersection of innovation, client delivery, and future-defining technology?
Were partnering with a leading global consultancy on a…
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Generative Ai Engineer employer: Stealth IT Consulting Limited
Contact Detail:
Stealth IT Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative Ai Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI and LLMs. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Showcase your fullstack development skills by working on personal projects or contributing to open-source initiatives related to Generative AI. This hands-on experience can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the Generative AI space through platforms like LinkedIn or relevant meetups. Building connections can provide insights into the industry and potentially lead to referrals.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges that focus on Python and fullstack development. Being well-prepared can boost your confidence and help you perform better during the interview process.
We think you need these skills to ace Generative Ai Engineer
Some tips for your application 🫡
Understand the Role: Take time to thoroughly read the job description for the Generative AI Engineer position. Understand the key responsibilities and required skills, particularly in Python, LLMs, and fullstack development.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the role. Emphasise your work with Generative AI, any projects involving LLMs, and your proficiency in Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Generative AI and how your background makes you a perfect fit for the consultancy. Mention specific projects or experiences that demonstrate your expertise.
Showcase Your Projects: If applicable, include links to your GitHub or portfolio showcasing projects related to Generative AI. This can provide tangible evidence of your skills and creativity to potential employers.
How to prepare for a job interview at Stealth IT Consulting Limited
✨Showcase Your Technical Skills
As a Generative AI Engineer, you'll need to demonstrate your proficiency in Python and working with large language models (LLMs). Be prepared to discuss specific projects you've worked on, the challenges you faced, and how you overcame them.
✨Understand the Company’s Vision
Research the global consultancy's mission and recent projects. Showing that you understand their focus on innovation and client delivery will help you align your answers with their values during the interview.
✨Prepare for Problem-Solving Questions
Expect to face technical problem-solving questions that assess your ability to think critically and creatively. Practice coding challenges or case studies related to Generative AI to showcase your analytical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and the types of projects you might work on. This not only shows your interest but also helps you gauge if the company is the right fit for you.
