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.
- Why this job: Make an impact in AI while enjoying a great work-life balance.
- Qualifications: 7+ years in ML, with expertise 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 in London 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 in London
✨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, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch and Python. This is your chance to demonstrate your expertise in building AI systems and can really set you apart from other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your research skills. Since this role involves significant research responsibilities, be ready to discuss recent advancements in AI and how they relate to large language models. We want to see your passion and knowledge shine through!
✨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 take the initiative to connect directly with us. Let’s get you that dream job at Gravity Engineering Services!
We think you need these skills to ace LLM AI Engineer — Equity & Hybrid in London
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 demonstrate 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 and ML!
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 our team!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Tech Inside Out
Make sure you’re well-versed in large language models and the frameworks mentioned, like PyTorch and Python. Brush up on your ML concepts and be ready to discuss how you've applied them in past projects.
✨Showcase Your Research Skills
Since this role involves significant research responsibilities, prepare to talk about any relevant research you've conducted. Bring examples of how your findings have influenced your work or led to innovative solutions.
✨Demonstrate Problem-Solving Abilities
Be ready to tackle hypothetical scenarios or technical challenges during the interview. Think through your problem-solving process and articulate it clearly, showing how you approach complex issues in AI.
✨Emphasise Work-Life Balance
With flexible working arrangements being a key part of the role, express your understanding of work-life balance. Share how you manage your time effectively while delivering high-quality results in your projects.
