At a Glance
- Tasks: Drive AI projects using Python and machine learning to create innovative solutions.
- Company: Dynamic tech firm focused on AI advancements and collaboration.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Why this job: Join a forward-thinking team and shape the future of AI technology.
- Qualifications: 5+ years in AI, strong Python skills, and experience with LLM/GenAI.
- Other info: Exciting environment that values new ideas and continuous learning.
The predicted salary is between 60000 - 80000 £ per year.
Minimum Years Of Experience: 5+ years of relevant experience. Engineers should be ‘Very Strong’ technically and should be very keen/enthusiastic to drive the program.
Job Details:
- Work mode: Hybrid, 3 days WFO
- Contract duration: 6 months
- Location: Burgess Hill
Requirements:
- Python Hands-on (Mandatory)
- LLM/GenAI Hands-on (Mandatory)
- Prompt engineering (Mandatory)
- Machine Learning (Mandatory)
- Data science experience (recommended)
Soft Skills:
- Strong communication skills
- Ready to lead and drive task to closure
- Able to recommend process improvements/new ideas to client as everyone is learning and new ideas are highly appreciated by client/leadership
AI Engineer in Burgess Hill employer: Natobotics
Contact Detail:
Natobotics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer in Burgess Hill
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the hunt for an AI Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects, LLM/GenAI work, and any machine learning models you've built. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview by practising common AI Engineer questions. Be ready to discuss your experience with prompt engineering and how you've driven projects to closure in the past. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing enthusiastic candidates who are keen to join our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace AI Engineer in Burgess Hill
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical prowess in Python, LLM/GenAI, and prompt engineering. We want to see how your 5+ years of experience make you a strong fit for the role!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements mentioned in the job description. This shows us that you’re genuinely interested in the AI Engineer position.
Communicate Clearly: Strong communication skills are key! Use your written application to demonstrate how you can articulate complex ideas simply. We love candidates who can lead discussions and drive tasks to closure.
Share Your Ideas: We appreciate fresh perspectives! If you have any process improvements or innovative ideas, mention them in your application. It shows us that you’re not just a doer but also a thinker!
How to prepare for a job interview at Natobotics
✨Brush Up on Your Python Skills
Since Python is mandatory for the AI Engineer role, make sure you’re comfortable with it. Review key libraries and frameworks that are commonly used in AI projects, and be ready to discuss your past experiences using Python in real-world applications.
✨Showcase Your LLM/GenAI Knowledge
Prepare to talk about your hands-on experience with Large Language Models and Generative AI. Be ready to explain how you've implemented these technologies in previous projects and any challenges you faced along the way.
✨Master Prompt Engineering
Prompt engineering is a crucial skill for this role. Think of examples where you’ve crafted effective prompts to achieve desired outcomes. Be prepared to discuss your thought process and how you iterated on prompts to improve results.
✨Demonstrate Strong Communication Skills
As an AI Engineer, you’ll need to communicate complex ideas clearly. Practice explaining technical concepts in simple terms, and think of examples where you’ve successfully led a project or recommended improvements. This will show your potential employer that you can drive tasks to closure effectively.