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For Companies At a Glance
- Tasks: Integrate AI into a cutting-edge HR-tech SaaS product and develop innovative features.
- Company: Join a forward-thinking company revolutionising the interviewing process with a candidate-first approach.
- Benefits: Enjoy remote work flexibility and a competitive salary ranging from £70k to £100k.
- Why this job: Be part of a dynamic team in a fast-paced environment, making a real impact in HR technology.
- Qualifications: Experience with Python and AI/ML frameworks is essential; startup experience is a plus.
- Other info: Work with advanced tools like PyTorch, TensorFlow, and Hugging Face.
The predicted salary is between 56000 - 84000 £ per year.
The client has created a next level HR-tech platform that improves the interviewing process for everyone involved and puts the candidate experience first, making them stand out amongst competitors. They are looking for an AI Product Engineer to join their growing team!
The Role:
- You will be integrating AI into a successful SaaS product (not just building models)
- Design and develop new AI driven features
- Optimize LLMs and Machine Learning
- Help integrate AI into a high growth SaaS product
What you need:
- Experience with Python
- Experience with AI/ML frameworks
- Strong knowledge of AI model development
- Ability to communicate AI concepts to tech and non-tech stakeholders
- Experience in start-ups/fast paced environments
Key Details:
- Location: Remote working (UK)
- Salary: £70k-£100k (depending on experience/seniority)
- Stack: Python, PyTorch, TensorFlow, Hugging Face
Artificial Intelligence Engineer employer: Revolution Technology
Contact Detail:
Revolution Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the specific AI/ML frameworks mentioned in the job description, such as PyTorch and TensorFlow. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical capabilities during discussions.
✨Tip Number 2
Prepare to discuss your previous projects where you've integrated AI into products. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will show your problem-solving skills and practical experience in a fast-paced environment.
✨Tip Number 3
Brush up on your communication skills, especially when it comes to explaining complex AI concepts to non-technical stakeholders. Practising how to simplify your explanations can make a significant difference in how you present your ideas during interviews.
✨Tip Number 4
Research the company’s HR-tech platform and understand its unique features. Being knowledgeable about their product will allow you to tailor your responses and show genuine interest in how you can contribute to their mission.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI/ML frameworks. Include specific projects where you've integrated AI into products, as this will demonstrate your relevant skills for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and how your background aligns with the company's mission to enhance the candidate experience. Mention any experience in fast-paced environments or startups to show you can thrive in their setting.
Showcase Communication Skills: Since the role requires communicating AI concepts to both tech and non-tech stakeholders, include examples in your application that demonstrate your ability to simplify complex ideas. This could be through previous roles or projects.
Highlight Relevant Projects: If you've worked on AI-driven features or optimised LLMs, make sure to detail these projects in your application. Discuss the impact of your work and any measurable outcomes to showcase your contributions effectively.
How to prepare for a job interview at Revolution Technology
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and AI/ML frameworks in detail. Bring examples of projects you've worked on, especially those involving LLMs or machine learning, to demonstrate your expertise.
✨Communicate Clearly
Since the role requires explaining AI concepts to both tech and non-tech stakeholders, practice articulating complex ideas in simple terms. This will show your ability to bridge the gap between technical and non-technical teams.
✨Highlight Your Startup Experience
If you have experience in fast-paced environments or startups, make sure to mention it. Discuss how you adapted to challenges and contributed to product development in such settings, as this aligns well with the company's culture.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, particularly in integrating AI into SaaS products. Think of scenarios where you had to optimise features or improve user experience through AI, and be ready to share your thought process.
