At a Glance
- Tasks: Join a leading energy company to develop AI solutions using Generative AI and LLMs.
- Company: World-renowned energy trading company with a focus on innovation.
- Benefits: Exciting contract role with potential for permanent position and ongoing extensions.
- Other info: Opportunity for career growth in a dynamic and impactful industry.
- Why this job: Be part of a strategic IT project that shapes the future of energy trading.
- Qualifications: Experience in Python, Git, and AI model integration is essential.
The predicted salary is between 36000 - 60000 £ per year.
This is a really exciting Contract opportunity for an AI Engineer with expertise in Generative AI and Large Language Models (LLMs) to join this world leading Energy Trading company. The role would be part of a long term Strategic IT project, with ongoing contract extensions and possibly a transition to permanent. Prior experience working in Trading Projects would be of particular interest.
Core Technical Skills
- Programming: Python
- Version Control: Git/GitHub
- System Integration & Deployment
- Model Serving: Triton Inference Server, Hugging Face Inference Endpoints
- API Integration: OpenAI, Anthropic, Cohere, Mistral
AI Engineer with Global Energy Company employer: Eaglecliff Recruitment
Join a world-leading Energy Trading company that values innovation and expertise in AI, offering a dynamic work culture where collaboration and creativity thrive. With a focus on employee growth, this role provides opportunities for ongoing contract extensions and potential transition to permanent positions, ensuring a rewarding career path. Located in a vibrant industry hub, employees benefit from a supportive environment that encourages professional development and engagement in cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer with Global Energy Company
✨Tip Number 1
Network like a pro! Reach out to folks in the energy and AI sectors on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Generative AI and LLMs. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, Git, and model serving tools like Triton and Hugging Face.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it!
We think you need these skills to ace AI Engineer with Global Energy Company
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Generative AI and Large Language Models. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background in Trading Projects makes you a perfect fit. Let us know what drives you!
Showcase Your Technical Skills:Be specific about your programming skills, especially in Python, and any experience with tools like Git/GitHub. We love seeing candidates who can demonstrate their technical prowess clearly and confidently.
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 this exciting role. Don’t miss out!
How to prepare for a job interview at Eaglecliff Recruitment
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI and Large Language Models. Be prepared to discuss specific projects you've worked on, especially in the context of trading. This will show your potential employer that you not only understand the technology but also how it applies to their industry.
✨Showcase Your Python Skills
Since programming in Python is a core requirement, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your previous projects. Practising common algorithms or data structures in Python can give you an edge.
✨Familiarise Yourself with Version Control
Understanding Git and GitHub is crucial for this role. Make sure you can explain how you've used version control in past projects. If possible, bring examples of your work or contributions to open-source projects to showcase your experience.
✨Prepare for Technical Questions
Expect technical questions related to system integration, model serving, and API integration. Review the tools mentioned in the job description, like Triton Inference Server and Hugging Face. Being able to discuss these technologies confidently will demonstrate your readiness for the role.
