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- Tasks: Architect and develop AI-driven services using large language models and cloud infrastructure.
- Company: Forward-thinking energy research company based in Oxford.
- Benefits: Hybrid working options, competitive salary, and opportunities for mentorship.
- Why this job: Lead innovative AI projects and make a real impact in the energy sector.
- Qualifications: Strong Python skills and experience with AWS services required.
- Other info: Mentorship opportunities and a dynamic work environment await you.
The predicted salary is between 48000 - 72000 £ per year.
A forward-thinking energy research company in Oxford is seeking a Senior AI Engineer to architect and develop AI-driven services. This role involves creating innovative solutions using large language models and modern cloud infrastructure. You will take the lead on projects, mentor junior engineers, and work closely with product managers to integrate AI capabilities.
A strong background in Python and experience with AWS services are essential for success in this position. Hybrid working options are available.
Senior AI Engineer | LLM, RAG & Cloud AI Systems employer: Aurora Energy Research
Contact Detail:
Aurora Energy Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer | LLM, RAG & Cloud AI Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large language models and cloud AI systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and AWS knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 4
Don’t forget to 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 Senior AI Engineer | LLM, RAG & Cloud AI Systems
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and AWS in your application. We want to see how you've used these skills in real projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with large language models and cloud AI systems, as we’re looking for someone who can hit the ground running.
Be Yourself: We love authenticity! Let your personality shine through in your application. Share your passion for AI and energy research, and don’t be afraid to show us what makes you unique.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It helps us keep track of applications and ensures you get noticed by the right people!
How to prepare for a job interview at Aurora Energy Research
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and cloud AI systems. Be ready to discuss specific projects you've worked on, especially those involving Python and AWS services. This will show that you’re not just familiar with the tech but have hands-on experience.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, be prepared to share examples of how you've led teams or projects in the past. Highlight any experiences where you’ve guided others or taken charge of a project, as this will demonstrate your capability to lead effectively.
✨Understand the Company’s Vision
Research the energy research company and understand their goals and challenges. Tailor your answers to show how your skills can help them achieve their objectives, particularly in developing innovative AI-driven solutions. This will show that you’re genuinely interested in the role and the company.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and future plans for AI integration. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
