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- Tasks: Design and develop chatbots and voicebots using AWS Lex.
- Company: Join a forward-thinking company focused on innovative digital experiences.
- Benefits: Enjoy a hybrid work model with competitive day rates.
- Why this job: Be part of a high-impact project using cutting-edge AWS technologies.
- Qualifications: Experience with AWS Lex, coding in Python, Java, NodeJS, or JavaScript required.
- Other info: Interviews are starting soon, so apply quickly!
The predicted salary is between 45000 - 75000 £ per year.
We are seeking two skilled AWS Lex Developers for a 6-month contract role based in Dunstable, working on a hybrid model (on-site 2-3 days/week).
You will design, develop, and maintain conversational interfaces using Amazon Lex, focusing on building scalable chatbots and voicebots with natural language understanding.
Key responsibilities include:
- Integrating chatbots with backend services via AWS Lambda
- Deploying GEN AI models
- Optimizing performance through testing and debugging
Essential skills:
- Hands-on experience with AWS Lex and other AWS services (Lambda, API Gateway, S3, RDS)
- Strong coding skills in Python, Java, NodeJS, or JavaScript
- Experience with large language models (LLMs) and conversational AI design
This is an exciting opportunity to contribute to innovative digital experiences using cutting-edge AWS technologies. Apply now, to join a high-impact project as interviews will be commencing soon.
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Lex Developer
✨Tip Number 1
Familiarise yourself with AWS Lex and its integration capabilities. Spend some time building a simple chatbot using AWS Lex to showcase your hands-on experience, as practical knowledge can set you apart during discussions.
✨Tip Number 2
Brush up on your coding skills in Python, Java, NodeJS, or JavaScript. Consider contributing to open-source projects or creating your own mini-projects that utilise these languages alongside AWS services to demonstrate your proficiency.
✨Tip Number 3
Stay updated on the latest trends in conversational AI and large language models. Engaging with online communities or forums can provide insights and help you discuss relevant topics during interviews, showing your passion for the field.
✨Tip Number 4
Prepare for technical interviews by practising common coding challenges and AWS-related scenarios. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills, ensuring you're ready to tackle any technical questions that may arise.
We think you need these skills to ace AWS Lex Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with AWS Lex and other relevant AWS services. Include specific projects where you've designed or developed chatbots or voicebots, showcasing your coding skills in Python, Java, NodeJS, or JavaScript.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your experience with large language models and conversational AI design, and explain how your skills align with the key responsibilities outlined in the job description.
Showcase Relevant Projects: If you have worked on any projects involving AWS Lex or similar technologies, be sure to include them in your application. Describe your role, the challenges you faced, and the outcomes of your work to demonstrate your expertise.
Proofread Your Application: Before submitting your application, take the time to proofread it for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in a technical role.
How to prepare for a job interview at Click To Hired
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with AWS Lex and other relevant AWS services. Highlight specific projects where you've integrated chatbots with backend services using AWS Lambda, as this will demonstrate your practical knowledge.
✨Demonstrate Coding Proficiency
Since strong coding skills in Python, Java, NodeJS, or JavaScript are essential, be ready to talk about your coding experience. You might even be asked to solve a coding problem during the interview, so brush up on your coding skills beforehand.
✨Familiarise Yourself with Conversational AI
Understanding large language models (LLMs) and conversational AI design is crucial for this role. Prepare to discuss how you've applied these concepts in previous projects and be ready to share insights on optimising performance through testing and debugging.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the role and the company. Inquire about the team dynamics, the specific challenges they face with their current projects, and how they measure success in their chatbot implementations.
