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For Companies At a Glance
- Tasks: Join a leading consultancy to build and optimise generative AI models.
- Company: Enzo Tech Group connects top SAP talent globally, driving innovation in tech.
- Benefits: Enjoy 90% remote work and potential contract extensions.
- Why this job: Be part of an exciting AI initiative with a major client in London.
- Qualifications: Experience in generative AI, Python, Java, and multi-agent systems required.
- Other info: This is a mid-senior level contract role in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
Enzo Tech Group are looking for a Gen AI Engineer to join one of the world's leading consultancies, embarking on an exciting AI initiative for one of their biggest clients based in London, UK. This will be a 6 month contract with extensions and offering 90% remote work.
This Engineer will need hands-on experience in building models for generative AI and large language models.
- Key Skills:
- Strong experience with Generative AI and Large Language Models (LLMs).
- Technical, hands-on experience building AI models.
- Proficient in Python and Java with a good coding background.
- Must have worked with multi-agent systems and their deployments.
- Data science background with practical experience in model development and optimization.
- MUST have hands-on experience working within Gen AI projects/deployments.
- Excellent communication skills in English.
Gen AI Engineer employer: Enzo Tech Group
Contact Detail:
Enzo Tech Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with generative AI and large language models during any networking opportunities. Engage with professionals in the field on platforms like LinkedIn, and don't hesitate to reach out to them directly to discuss your relevant projects.
✨Tip Number 2
Join online communities or forums focused on generative AI and multi-agent systems. Participating in discussions or sharing your insights can help you build connections and demonstrate your expertise, making you a more attractive candidate for the role.
✨Tip Number 3
Consider attending webinars or workshops related to generative AI and model development. These events not only enhance your knowledge but also provide networking opportunities with industry leaders who might be involved in hiring processes.
✨Tip Number 4
If you have any personal projects or contributions to open-source initiatives involving Python or Java, be sure to highlight these in conversations. Demonstrating your coding skills and practical experience can set you apart from other candidates.
We think you need these skills to ace Gen AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Gen AI Engineer position. Familiarise yourself with generative AI, large language models, and the specific skills mentioned in the job description.
Tailor Your CV: Customise your CV to highlight your relevant experience in generative AI and large language models. Emphasise your technical skills in Python and Java, as well as any hands-on experience with multi-agent systems and model optimisation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your specific experiences related to the role. Mention any previous projects or deployments you've worked on that align with the job requirements, and demonstrate your excellent communication skills.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in consulting roles.
How to prepare for a job interview at Enzo Tech Group
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with generative AI and large language models. Bring examples of projects you've worked on, particularly those involving Python and Java, to demonstrate your coding proficiency.
✨Highlight Your Data Science Background
Make sure to emphasise your data science experience, especially in model development and optimisation. Discuss specific techniques or methodologies you've used in past projects to showcase your expertise.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios, particularly related to multi-agent systems and their deployments. Think of examples where you successfully navigated challenges in previous roles.
✨Demonstrate Strong Communication Skills
Since excellent communication is a must, practice articulating your thoughts clearly and concisely. Be ready to explain complex technical concepts in simple terms, as this will show your ability to collaborate effectively with non-technical stakeholders.
