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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 43200 - 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 in Oxford 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 in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving large language models and cloud AI systems. This is your chance to demonstrate your expertise in Python and AWS – make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Think about how you would lead a project or mentor a junior engineer, as these are key aspects of the role we're looking for.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior AI Engineer | LLM, RAG & Cloud AI Systems in Oxford
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 past projects, especially if they relate to AI-driven services.
Be Innovative: Since we're all about creating innovative solutions, don’t hesitate to share any unique projects or ideas you’ve worked on. This is your chance to show us how you think outside the box!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with our focus on large language models and cloud infrastructure. We love seeing candidates who take the time to connect their experience with our needs.
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’re considered for the role. Plus, it’s super easy!
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. 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 integrating AI capabilities into their services. This shows genuine interest and alignment with their mission.
✨Prepare for Technical Questions
Expect technical questions related to AI architecture, Python coding, and AWS services. Practice coding problems and be ready to explain your thought process. This will not only showcase your technical prowess but also your problem-solving approach, which is crucial for this role.
