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For Companies At a Glance
- Tasks: Join us to integrate AI into a cutting-edge HR-tech platform and develop innovative features.
- Company: We're a forward-thinking company revolutionising the interviewing process with a focus on candidate experience.
- Benefits: Enjoy remote work flexibility, competitive salary, and the chance to shape the future of HR tech.
- Why this job: Be part of a dynamic team in a fast-paced environment, making a real impact with AI technology.
- Qualifications: You need Python experience, knowledge of AI/ML frameworks, and strong communication skills.
- Other info: This role offers a unique opportunity to work with a high-growth SaaS product.
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 real-world applications of AI in SaaS products. Think about how you can improve user experiences or streamline processes, as this aligns with the company's focus on enhancing the candidate experience in HR-tech.
✨Tip Number 3
Brush up on your communication skills, especially when it comes to explaining complex AI concepts to non-technical stakeholders. Being able to convey your ideas clearly will set you apart in a fast-paced environment where collaboration is key.
✨Tip Number 4
Showcase any previous experience you've had in start-ups or fast-paced environments. Highlighting your adaptability and ability to thrive under pressure will resonate well with the company's dynamic culture.
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 Your Technical Skills: If you have experience with specific tools like PyTorch, TensorFlow, or Hugging Face, make sure to mention these in your application. Providing examples of how you've used these technologies in past projects can set you apart.
Prepare for Communication: Since the role requires communicating AI concepts to both tech and non-tech stakeholders, consider including examples in your application that demonstrate your ability to simplify complex ideas. This will show that you can bridge the gap between technical and non-technical teams.
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 technical and non-technical stakeholders, practice articulating complex ideas in simple terms. This will show your ability to bridge the gap between tech and business.
✨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've had to optimise features or improve user experience through AI, and be ready to share your thought process.
