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 to 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, we offer continuous learning opportunities and the chance to work alongside talented professionals in a hybrid setting in London, ensuring a perfect balance between work and personal life. Join us to be part of a forward-thinking team that values creativity and excellence in engineering.
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 want to see your Python prowess in action, so don’t hold back!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with deploying AI/ML systems. We recommend practicing common interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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:Since we're focusing on LLM applications, share any relevant experience you have in this area. Whether it's a project or a specific challenge you tackled, we love hearing about your hands-on experience.
Collaboration is Key:We value teamwork, so mention any instances where you've collaborated with product and engineering teams. Show us how you communicate and work together to achieve common goals—it's a big part of what we do!
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. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Gravity Engineering Services Pvt Ltd.
✨Know Your Python Inside Out
Since the role requires a strong Python engineering background, make sure you brush up on your Python skills. Be ready to discuss your previous projects and how you've used Python to build and deploy AI systems. Practising coding challenges can also help you demonstrate your technical prowess.
✨Showcase Your AI/ML Experience
Prepare to talk about your experience with AI and machine learning systems. Highlight specific projects where you've shipped AI/ML systems into production. Discuss the challenges you faced and how you overcame them, as this will show your problem-solving skills and practical knowledge.
✨Understand LLM Applications
Familiarise yourself with large language models (LLMs) and their applications. Be prepared to discuss how you would design backend systems for LLMs and optimise their performance. This shows that you’re not just technically skilled but also understand the specific needs of the role.
✨Collaboration is Key
Since the role involves working closely with product and engineering teams, be ready to share examples of how you've successfully collaborated in the past. Emphasise your communication skills and how you approach teamwork, as this will be crucial in a hybrid work environment.
