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- Tasks: Join us to integrate AI into a cutting-edge HR-tech platform and develop innovative features.
- Company: Be part of 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: Work in a dynamic startup environment where your contributions directly impact user experience and innovation.
- Qualifications: You need experience in Python, AI/ML frameworks, and strong communication skills for diverse audiences.
- Other info: This role is perfect for those passionate about AI and eager to make a difference in tech.
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 using AI, as this aligns perfectly with the company's focus on enhancing the candidate experience.
✨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 collaborative environment.
✨Tip Number 4
Showcase your adaptability and experience in fast-paced environments. Be ready to share examples from your past roles where you successfully navigated challenges or contributed to rapid product development.
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 for diverse audiences.
Highlight Relevant Projects: If you've worked on projects involving LLMs or machine learning, be sure to detail these experiences. Discuss the impact of your contributions and any innovative features you developed, as this will set you apart from other candidates.
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 model development or integration into SaaS products.
✨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 demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Demonstrate Adaptability
Highlight your experience in fast-paced environments or startups. Share specific examples of how you've adapted to changing requirements or tackled challenges in previous roles.
✨Prepare Questions About the Company
Research the company's HR-tech platform and think of insightful questions about their approach to integrating AI. This shows your genuine interest in the role and helps you understand how you can contribute to their mission.
