At a Glance
- Tasks: Build and deploy AI systems focusing on LLM applications and scalable backend systems.
- Company: Join Gravity Engineering Services, a leader in innovative AI solutions.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
- Other info: Collaborative environment with a focus on performance optimization and teamwork.
- Why this job: Make an impact in the AI field while working with cutting-edge technology.
- Qualifications: Strong Python skills and experience in shipping AI/ML systems into production.
The predicted salary is between 60000 - 80000 £ per year.
Gravity Engineering Services Pvt Ltd. is seeking an AI Engineer to build and deploy AI systems focusing on LLM applications and scalable backend systems. The position requires a strong Python engineering background and experience shipping AI/ML systems into production.
Responsibilities include:
- Designing backend systems
- Optimizing performance
- Collaborating closely with product and engineering teams
This role is hybrid and candidates must be UK-based as no visa sponsorship is available.
AI Engineer: LLMs & Production Systems (Hybrid London) employer: Gravity Engineering Services Pvt Ltd.
Gravity Engineering Services Pvt Ltd. is an exceptional employer that fosters a collaborative and innovative work culture, ideal for AI Engineers looking to make a significant impact in the field of LLM applications. With a strong emphasis on employee growth and development, the company offers numerous opportunities for professional advancement while working in a hybrid model from London, allowing for a balanced work-life integration. Employees benefit from a supportive environment that encourages creativity and teamwork, making it a rewarding place to build a career in cutting-edge technology.
Contact Details:
Gravity Engineering Services Pvt Ltd. Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer: LLMs & Production Systems (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and backend systems. We love seeing real-world applications of your work, so make sure to highlight any AI/ML systems you've shipped into production.
✨Tip Number 3
Prepare for the interview! Brush up on your Python skills and be ready to discuss how you’ve designed and optimised backend systems. We want to see your thought process, so practice explaining your approach to problem-solving.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to dive into the world of AI engineering.
We think you need these skills to ace AI Engineer: LLMs & Production Systems (Hybrid London)
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python engineering background in your application. We want to see how you've used Python in real-world projects, especially in AI/ML systems. Don't hold back on the details!
Talk About Your Experience with LLMs:If you've worked with large language models before, let us know! Share specific examples of how you've built or deployed these systems. This will help us understand your expertise and fit for the role.
Collaboration is Key:Since this role involves working closely with product and engineering teams, mention any collaborative projects you've been part of. We love seeing how you communicate and work with others to achieve common goals.
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. We can’t wait to hear from you!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of AI and ML. Be ready to discuss your previous projects where you've used Python to build or deploy AI systems, as this will show your practical experience.
✨Understand LLM Applications
Familiarise yourself with large language models (LLMs) and their applications. Be prepared to talk about how you've worked with LLMs in the past, or how you would approach building scalable systems using them. This shows your enthusiasm and knowledge in the field.
✨Collaboration is Key
Since the role involves working closely with product and engineering teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you can bridge the gap between technical and non-technical team members.
✨Prepare for Technical Questions
Expect technical questions related to backend system design and performance optimisation. Brush up on relevant concepts and be ready to solve problems on the spot. Practising coding challenges can help you feel more confident during the interview.
