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- Tasks: Join our team as a Generative AI Engineer, tackling exciting challenges in a fast-paced environment.
- Company: Be part of a pioneering company at the forefront of generative AI technology.
- Benefits: Enjoy opportunities for remote work and access to cutting-edge resources.
- Why this job: Work on innovative projects that make a real impact in the AI field.
- Qualifications: 5+ years in generative AI, strong NLP skills, and a relevant degree required.
- Other info: Security clearance is necessary; apply only if eligible.
The predicted salary is between 43200 - 72000 £ per year.
My client is currently looking for a Generative AI Engineer to join our enthusiastic and rapidly growing team. You will have 5+ years industry experience working with Generative AI on a wide range of challenges in a fast-moving environment.
Minimum Qualifications & Experience
- Strong understanding of the theory of generative AI systems e.g., LLMs, RAG, Graph networks
- Strong experience deploying LLM’s for searching pipelines
- Up to date with current LLM and NLP research
- Experience designing, developing and deploying production machine learning pipelines
- Strong background in NLP techniques
- BS, MS or Ph.D. degree in Computer Science or related quantitative field
- Strong presentation skills
- Python for machine learning development
- Full-stack development, enhancement, and maintenance
- GIT workflow & control
- Docker for system deployment
- AWS/Cloud experience
Preferred Qualifications & Experience
- A portfolio of previous work (industry, Bachelors, semester, Masters, doctoral thesis, ...) in AI/robotics (Github repository) or published papers in relevant AI/robotics journals/conferences
- Experience with Git-workflow within a production team
- Experience with Agile product development
- Experience of working in a start-up
- Best practices in data engineering
- Familiarity with MLOps
- Experience with building Restful services
- Experience presenting in front of project stakeholders
- Keen business development interest
Please note that this role requires security clearance so please only apply if you are eligible for SC Security Clearance.
Generative AI Engineer employer: Think IT Resources
Contact Detail:
Think IT Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with Generative AI systems during any networking opportunities. Engage in discussions about recent advancements in LLMs and NLP, as this will demonstrate your passion and knowledge in the field.
✨Tip Number 2
Join relevant online communities or forums where professionals discuss Generative AI and machine learning. This can help you stay updated on industry trends and may lead to connections that could refer you to job openings.
✨Tip Number 3
Consider contributing to open-source projects related to Generative AI. This not only enhances your skills but also builds a portfolio that showcases your work, which is highly valued by employers.
✨Tip Number 4
Prepare to discuss your previous projects in detail during interviews. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will highlight your problem-solving abilities and technical expertise.
We think you need these skills to ace Generative AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 5+ years of experience in Generative AI and relevant projects. Emphasise your skills in deploying LLMs, NLP techniques, and any experience with AWS or Docker.
Showcase Your Portfolio: Include a link to your GitHub repository or any published papers that demonstrate your work in AI/robotics. This will give the employer insight into your practical experience and contributions to the field.
Craft a Strong Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role and the company. Mention specific projects or technologies you are excited about that align with their work.
Highlight Relevant Skills: In your application, make sure to mention your familiarity with Agile product development, MLOps, and any experience presenting to stakeholders. These skills are crucial for the role and should be clearly stated.
How to prepare for a job interview at Think IT Resources
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with generative AI systems, particularly LLMs and NLP techniques. Highlight specific projects where you've deployed these technologies, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Problem-Solving Skills
Expect to tackle real-world problems during the interview. Practice articulating your thought process when approaching complex challenges in generative AI. This will show your ability to think critically and adapt in a fast-moving environment.
✨Prepare Your Portfolio
If you have a portfolio of previous work, such as GitHub repositories or published papers, make sure to bring it along. Discussing your past projects can provide concrete evidence of your skills and experience, making you a more compelling candidate.
✨Communicate Effectively
Strong presentation skills are essential for this role. Practice explaining technical concepts in a clear and concise manner, especially to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and business aspects of projects.
