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- Tasks: Design and develop chatbots and voicebots using AWS Lex.
- Company: Join a forward-thinking team in Dunstable, 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 skills in Python, Java, NodeJS, or JavaScript required.
- Other info: Interviews are starting soon, so apply now!
The predicted salary is between 50000 - 70000 £ 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 in Dunstable, Bedfordshire employer: Stott & May Professional Search Limited
Contact Detail:
Stott & May Professional Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AWS Lex Developer in Dunstable, Bedfordshire
✨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 discussions.
✨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 will show your passion for the field and your commitment to continuous learning.
✨Tip Number 4
Network with professionals in the AWS community. Join relevant forums or attend meetups to connect with others in the industry, which could lead to valuable insights and potential referrals for the role.
We think you need these skills to ace AWS Lex Developer in Dunstable, Bedfordshire
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. Emphasise your coding skills in Python, Java, NodeJS, or JavaScript, as well as any experience you have with large language models and conversational AI design.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to design and develop conversational interfaces, and how you can contribute to the innovative digital experiences they are seeking.
Showcase Relevant Projects: If you have worked on any projects involving chatbots or voicebots, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved to illustrate your expertise in this area.
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 information is clear and concise. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Stott & May Professional Search Limited
✨Showcase Your Technical Skills
Make sure to highlight your hands-on experience with AWS Lex and other relevant AWS services during the interview. Be prepared to discuss specific projects where you've integrated chatbots with backend services using AWS Lambda, as this will demonstrate your practical knowledge.
✨Prepare for Coding Challenges
Since strong coding skills in Python, Java, NodeJS, or JavaScript are essential, brush up on your coding abilities. You might face technical questions or coding challenges, so practice common algorithms and data structures that could be relevant to chatbot development.
✨Understand Conversational AI Design
Familiarise yourself with the principles of conversational AI design and large language models (LLMs). Be ready to discuss how you would approach building scalable chatbots and voicebots, as well as any optimisation techniques you've used in past projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and their use of AWS technologies. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals. Inquire about their current challenges and how you can contribute to solving them.
