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For Companies At a Glance
- Tasks: Join us as an AI Product Engineer to integrate cutting-edge AI into our Learning Technologies products.
- Company: Thrive is a modern workplace focused on innovation and work-life balance since 2017.
- Benefits: Enjoy flexible working, unlimited holiday, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation while collaborating with passionate teams in a supportive environment.
- Qualifications: Bachelor's or Master's in Computer Science or related field; experience in AI/ML solutions required.
- Other info: Work remotely with a team that values creativity and adaptability.
The predicted salary is between 36000 - 60000 £ per year.
What you’ll be doing
We are seeking an AI Product Engineer to drive the integration of advanced AI technologies into our Learning Technologies products. This pivotal role bridges the gap between AI research and practical product implementation, requiring a blend of technical expertise and business insight.
The ideal candidate will possess a strong background in AI and machine learning, with the ability to translate complex AI concepts into actionable product features. You will collaborate closely with cross-functional teams, including software developers, product managers, and learning specialists, to design, develop, and deploy AI solutions that enhance our innovative products.
Key responsibilities
AI Integration and Development
• Design, develop, and integrate AI models and algorithms into our products.
• Collaborate with software engineers to implement AI solutions in production systems, ensuring scalability and efficiency.
• Continuously assess and improve the performance of AI models through rigorous testing and optimization.
AI Research and Analysis
• Conduct ongoing research into emerging AI models, large language models, and applications relevant to Learning Technologies.
• Evaluate new AI technologies and assess their potential to meet business and user needs, staying informed on industry trends, competitive landscapes, and best practices.
• Document AI workflows, including data collection, preprocessing, model development, and deployment, for easy reference and continuous improvement.
Product Strategy and Innovation
• Identify opportunities to leverage AI technologies to meet business and user needs.
• Propose and prototype new AI-driven features that align with our product and business goals.
• Stay updated on emerging AI trends and technologies to inform product development strategies.
AI Implementation Catalyst
• Collaborate with internal teams to initiate and pilot AI integration ideas, assess their effectiveness, and adapt strategies as needed.
• Act as a central point of expertise for AI-driven innovation within our Learning Technologies products.
Collaboration and Communication
• Work closely with cross-functional teams to ensure successful AI integration.
• Communicate complex AI concepts and findings to both technical and non-technical stakeholders.
• Provide training and resources to upskill team members in AI technologies.
• Compile research findings in structured, accessible reports and present insights to stakeholders to support strategic decisions.
Business Strategy
• Evaluate commercial models for AI tools and services, considering their business impact and alignment with our product strategy.
• Build and manage partnerships with key AI vendors and researchers to advance our capabilities in alignment with business goals.
• Act as a representative of the company in the AI community, engaging with industry players and building a professional network.
What we’re looking for
Technical Expertise
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in developing and deploying AI/ML solutions.
• Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Strong understanding of machine learning algorithms, natural language processing, and large language models (LLMs).
• Familiarity with MLOps practices and version control systems.
Back-End Engineering Skills
• Strong back-end engineering skills, particularly in Python or Node.js.
• Willingness to upskill in Node.js/TypeScript if your primary experience is in other back-end languages.
Product Development Skills
• Ability to translate business requirements into technical specifications.
• Experience integrating AI models into software products.
• Strong problem-solving skills and creative thinking.
Full-Stack Development
• Experience with React and front-end web development is a plus.
Communication Skills
• Excellent written and verbal communication abilities.
• Capacity to explain complex technical concepts to diverse audiences.
• Strong interpersonal skills for effective collaboration.
Self-Starter Attitude
• Ability to work independently and lead projects from conception to completion.
• Passion for staying current with AI advancements and emerging trends.
• Adaptability to evolving technology and business needs.
Desirable Skills
• Experience with cloud platforms like AWS.
• Understanding of data structures and software development practices.
• Prior exposure to the Learning Technologies sector or workplace learning technology.
About Thrive
Since starting the business in 2017, we’ve endeavored to create a modern workplace, with team members working across the UK and enjoying the benefits of flexible working to maintain a positive work-life balance while achieving exciting goals as a team.
Benefits
• Professional Growth: Opportunities for fast-tracked career progression and skill development.
• Flexible Working: Emphasis on work-life balance with flexible working arrangements.
• Unlimited Holiday: Generous leave policy to ensure you have time to recharge.
• Pension Scheme: Competitive pension plan with strong returns.
• Collaborative Environment: Work with passionate and creative professionals committed to innovation. #J-18808-Ljbffr
Product AI Engineer employer: Thrive
Contact Detail:
Thrive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product AI Engineer
✨Tip Number 1
Familiarize yourself with the latest AI technologies and trends. This will not only help you in interviews but also show your passion for the field, which is crucial for a role that bridges AI research and product implementation.
✨Tip Number 2
Network with professionals in the AI and Learning Technologies sectors. Attend relevant meetups or webinars to connect with potential colleagues and gain insights into the industry, which can give you an edge during the application process.
✨Tip Number 3
Prepare to discuss specific AI projects you've worked on. Be ready to explain your role, the challenges you faced, and how you overcame them, as this demonstrates your hands-on experience and problem-solving skills.
✨Tip Number 4
Showcase your ability to communicate complex AI concepts clearly. Practice explaining your work to non-technical audiences, as effective communication is key in collaborating with cross-functional teams at StudySmarter.
We think you need these skills to ace Product AI Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Product AI Engineer position. Understand the key responsibilities and required skills, especially in AI integration, product development, and collaboration with cross-functional teams.
Tailor Your CV: Customize your CV to highlight relevant experience in AI and machine learning. Emphasize your technical expertise, particularly in Python and machine learning frameworks like TensorFlow or PyTorch, as well as any experience with back-end engineering.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI technologies and your ability to translate complex concepts into actionable product features. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Communication Skills: In your application, demonstrate your excellent written and verbal communication abilities. Provide examples of how you've effectively communicated complex technical concepts to diverse audiences, as this is crucial for the role.
How to prepare for a job interview at Thrive
✨Showcase Your AI Knowledge
Be prepared to discuss your experience with AI and machine learning in detail. Highlight specific projects where you've developed or integrated AI models, and be ready to explain the technical aspects in a way that non-technical stakeholders can understand.
✨Demonstrate Collaboration Skills
Since this role involves working closely with cross-functional teams, share examples of how you've successfully collaborated with software developers, product managers, and other stakeholders. Emphasize your ability to communicate complex concepts clearly.
✨Stay Updated on AI Trends
Research the latest trends in AI and machine learning before your interview. Be ready to discuss how these trends could impact the Learning Technologies sector and suggest innovative ideas for AI-driven features that align with the company's goals.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving skills. Think of scenarios where you've had to troubleshoot AI model performance or adapt strategies based on testing results, and be ready to walk through your thought process.
