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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 - 63000 £ 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.
AWS Lex Developer employer: Click To Hired
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 during interviews.
✨Tip Number 2
Brush up on your coding skills in Python, Java, NodeJS, or JavaScript. Consider creating a small project that utilises these languages alongside AWS services to demonstrate your technical proficiency.
✨Tip Number 3
Stay updated on the latest trends in conversational AI and large language models. Being able to discuss recent advancements and how they can be applied to AWS Lex will set you apart from other candidates.
✨Tip Number 4
Network with professionals in the AWS community. Join relevant forums or attend meetups to connect with others who work with AWS Lex, as they may provide insights or even referrals for the position.
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 you can contribute to the innovative digital experiences they are looking to create.
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 how you overcame them, particularly focusing on performance optimization and integration with backend services.
Proofread Your Application: Before submitting your application, take the time to proofread it carefully. Check for any spelling or grammatical errors, and ensure that all technical terms are used correctly. A polished application reflects your attention to detail and professionalism.
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.
✨Understand Conversational AI Design
Familiarise yourself with large language models (LLMs) and conversational AI design principles. Be prepared to discuss how you would approach building scalable chatbots and voicebots, as this will show your understanding of the role's requirements.
✨Prepare Questions for the Interviewers
Having insightful questions ready can set you apart from other candidates. Ask about the team's current projects, challenges they face with AWS technologies, or how they measure the success of their chatbots. This shows your genuine interest in the role and the company.
