Conversational AI Engineer - Chatbots & NLU

Conversational AI Engineer - Chatbots & NLU

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Devitechs

At a Glance

  • Tasks: Create AI-powered chatbots and enhance user interactions with NLU.
  • Company: Devitechs, a forward-thinking tech company in the UK.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Exciting projects in a dynamic environment with great career advancement potential.
  • Why this job: Join us to innovate conversational systems that truly impact user experience.
  • Qualifications: Proficiency in Python and knowledge of chatbot frameworks like Rasa and Dialogflow.

The predicted salary is between 50000 - 70000 £ per year.

Devitechs in the United Kingdom is seeking an AI Developer to create AI-powered chatbots and virtual assistants. The role involves implementing NLU for enhanced interactions and optimizing models for performance.

The ideal candidate will have strong proficiency in Python, knowledge of chatbot frameworks like Rasa and Dialogflow, and a degree in AI or Computer Science.

Join us to work on innovative conversational systems that impact user experience!

Conversational AI Engineer - Chatbots & NLU employer: Devitechs

At Devitechs, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that encourages creativity and professional growth. Our team members enjoy competitive benefits, including flexible working arrangements and opportunities for continuous learning in the rapidly evolving field of AI. Located in the vibrant tech hub of the United Kingdom, we offer a unique environment where your contributions directly enhance user experiences through cutting-edge conversational systems.

Devitechs

Contact Details:

Devitechs Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Conversational AI Engineer - Chatbots & NLU

Tip Number 1

Network like a pro! Reach out to folks in the AI and chatbot space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects with Python, Rasa, or Dialogflow. We recommend including links to your GitHub or any live demos to impress potential employers.

Tip Number 3

Prepare for those interviews! Brush up on your NLU knowledge and be ready to discuss how you’ve optimised models in the past. We suggest practising common interview questions related to conversational AI to boost your confidence.

Tip Number 4

Apply through our website! We make it super easy for you to find roles that match your skills. Don’t hesitate to submit your application directly; we’re always on the lookout for passionate talent like you!

We think you need these skills to ace Conversational AI Engineer - Chatbots & NLU

Python
Chatbot Frameworks
Rasa
Dialogflow
Natural Language Understanding (NLU)
AI Development
Model Optimisation

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your proficiency in Python and any experience you have with chatbot frameworks like Rasa and Dialogflow. We want to see how your skills align with the role, so don’t hold back!

Tailor Your Application:Customise your CV and cover letter to reflect the job description. Mention your degree in AI or Computer Science and how it relates to the work we do at StudySmarter. This shows us you’re genuinely interested!

Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Make it easy for us to see why you’re a great fit!

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’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Devitechs

Know Your Tech Inside Out

Make sure you brush up on your Python skills and get familiar with chatbot frameworks like Rasa and Dialogflow. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the tools they'll expect you to use.

Showcase Your NLU Knowledge

Since the role involves implementing Natural Language Understanding, be prepared to explain how NLU works and its importance in chatbots. You might want to bring examples of how you've optimised models for better performance in previous roles or projects.

Prepare for Problem-Solving Questions

Expect some technical questions that test your problem-solving skills. Practice coding challenges related to AI and chatbots beforehand. This will help you think on your feet and demonstrate your ability to tackle real-world issues they might face.

Engage with Your Interviewers

Don't forget that interviews are a two-way street! Prepare thoughtful questions about their current projects and future goals in conversational AI. This shows your genuine interest in the role and helps you assess if it's the right fit for you.