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- Tasks: Prototype cutting-edge conversational AI systems and enhance real-world functionalities.
- Company: ConnexAI, a forward-thinking AI company based in Manchester.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join us to shape the future of AI and make a real impact.
- Qualifications: Strong Python skills and experience with large language models.
The predicted salary is between 45000 - 55000 £ per year.
ConnexAI, located in Manchester, is seeking an AI Engineer to enhance conversational AI products powered by large language models. The role involves prototyping systems to translate model capabilities into real-world functionalities.
Ideal candidates will have:
- Strong Python skills
- Experience with LLM applications
- A passion for AI
This position focuses on improving accuracy and responsiveness in AI features, working closely with engineering teams to ensure scaled solutions. Join us to make impactful contributions in the AI domain.
Conversational AI Prototyping Engineer employer: ConnexAI
Contact Detail:
ConnexAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Conversational AI Prototyping Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and any LLM applications you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI engineering questions and be ready to discuss how you've tackled challenges in previous projects. We want to see your passion for AI shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at ConnexAI.
We think you need these skills to ace Conversational AI Prototyping Engineer
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially if you've worked with large language models. Don't hold back on the details!
Demonstrate Your Passion for AI: Let us know why you're excited about AI and conversational technologies. Share any personal projects or experiences that showcase your enthusiasm and understanding of the field. We love seeing candidates who are genuinely passionate!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific aspects of the job description that resonate with you and explain how your skills align with our needs. It shows us you’re serious about joining our team!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at ConnexAI
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially how you've used it in previous projects related to AI or LLM applications.
✨Showcase Your AI Passion
Demonstrate your enthusiasm for AI during the interview. Share any personal projects or research you've done in the field, and be prepared to discuss the latest trends in conversational AI and how they can impact real-world applications.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of large language models and their functionalities. Practice explaining complex concepts in simple terms, as this will show your ability to communicate effectively with engineering teams.
✨Think About Real-World Applications
Be ready to discuss how you would prototype systems that translate model capabilities into practical solutions. Think of examples where you've improved accuracy and responsiveness in AI features, and be prepared to share your thought process.