At a Glance
- Tasks: Design and build AI systems focusing on large language models.
- Company: Join Gravity Engineering Services, a high-potential tech company.
- Benefits: Competitive salary, equity options, and flexible working arrangements.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Make an impact in AI research while enjoying work-life balance.
- Qualifications: 7+ years in ML, proficient in PyTorch and Python.
The predicted salary is between 80000 - 120000 £ per year.
Gravity Engineering Services Pvt Ltd. is seeking an AI Engineer to design and build systems for AI agents, focusing on large language models. Candidates should have over 7 years of experience, a strong background in ML, and proficiency in frameworks like PyTorch and Python.
This role includes significant research responsibilities and offers a competitive salary, equity in a high-potential company, and flexible working arrangements from the London office, enhancing work-life balance.
LLM AI Engineer — Equity & Hybrid employer: Gravity Engineering Services Pvt Ltd.
Gravity Engineering Services Pvt Ltd. is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of AI. With a focus on employee growth, we provide opportunities for professional development and research, alongside competitive salaries and equity options, all within the vibrant setting of our London office, which promotes a healthy work-life balance through flexible working arrangements.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land LLM AI Engineer — Equity & Hybrid
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML community, especially those who work with large language models. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in PyTorch and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your research skills. Be ready to discuss recent advancements in AI and how they relate to the role. We want to see your passion for the field!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace LLM AI Engineer — Equity & Hybrid
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with large language models and machine learning. We want to see how your skills in PyTorch and Python shine through, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for AI and any relevant projects you've worked on that showcase your expertise.
Showcase Your Research Skills:Since this role involves significant research responsibilities, include any relevant publications or projects. We love seeing how you’ve contributed to the field of AI!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Stuff
Make sure you brush up on your knowledge of large language models and machine learning frameworks like PyTorch and Python. Be ready to discuss your past projects and how they relate to the role, as this will show your expertise and passion for the field.
✨Research the Company
Take some time to understand Gravity Engineering Services Pvt Ltd. and their mission. Knowing about their recent projects or innovations can help you tailor your answers and demonstrate your genuine interest in the company during the interview.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and understanding of AI systems. Practise coding challenges or algorithm questions related to ML, as this will help you feel more confident and ready to tackle any curveballs thrown your way.
✨Showcase Your Research Skills
Since the role involves significant research responsibilities, be prepared to discuss your approach to research and how you've applied it in previous roles. Highlight any innovative solutions you've developed and how they contributed to your team's success.
