At a Glance
- Tasks: Design and develop AI solutions using AWS services like Amazon Lex.
- Company: Join Computer Futures, a leading tech recruitment agency in the UK.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real impact in contact centres.
- Qualifications: Experience in software engineering, AWS, TypeScript, and DevOps practices required.
- Other info: Work in a collaborative environment with a focus on innovation and quality.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities:
- Design, develop, and maintain software solutions utilizing AWS AI services such as Amazon Lex and Large Language Models (LLMs).
- Collaborate with cross-functional teams to integrate AI capabilities into contact centre solutions.
- Write clean, efficient, and maintainable code in TypeScript.
- Implement and advocate for DevOps best practices, including CI/CD pipelines, automated testing, and infrastructure as code.
- Lead and participate in code reviews to ensure code quality and adherence to best practices.
- Troubleshoot and resolve complex technical issues across multiple areas of the software stack.
- Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain competitive yet sustainable.
Requirements:
- Proven experience as a Senior Software Engineer or similar role.
- Strong expertise in AWS services, particularly Amazon Lex and other AI/ML services.
- Proficiency in TypeScript and modern JavaScript frameworks.
- Solid understanding of DevOps methodologies and tools (e.g., CI/CD, Serverless, Monitoring).
- Experience with contact centre technologies and integrations.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills, both written and verbal.
Preferred Qualifications:
- Experience with other AWS AI services and tools.
- Familiarity with serverless architectures and microservices.
- Knowledge of security best practices in cloud environments.
- Experience with agile development methodologies.
Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement.
To find out more about Computer Futures please visit
Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
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Amazon Lex/ Chatbot engineer employer: webAI
Contact Detail:
webAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Amazon Lex/ Chatbot engineer
✨Tip Number 1
Familiarise yourself with Amazon Lex and other AWS AI services. Consider building a small project or prototype that showcases your skills in using these technologies, as practical experience can set you apart during discussions.
✨Tip Number 2
Brush up on your TypeScript and modern JavaScript frameworks. Being able to demonstrate your coding skills in these languages through live coding sessions or technical interviews will be crucial.
✨Tip Number 3
Stay updated on DevOps best practices, especially around CI/CD and infrastructure as code. You might want to share insights or experiences related to these methodologies during your conversations with us.
✨Tip Number 4
Prepare to discuss your experience with contact centre technologies and integrations. Having specific examples ready will help illustrate your expertise and how it aligns with our needs.
We think you need these skills to ace Amazon Lex/ Chatbot engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS services, particularly Amazon Lex and TypeScript. Use specific examples of projects where you've implemented AI solutions or worked with DevOps practices.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and chatbots. Mention how your skills align with the responsibilities listed in the job description, and provide examples of how you've successfully collaborated with cross-functional teams.
Showcase Your Problem-Solving Skills: Include specific instances in your application where you've resolved complex technical issues. This could be through a project description or a brief anecdote that demonstrates your analytical thinking and troubleshooting abilities.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to AWS, AI, or DevOps methodologies. This shows your commitment to staying up-to-date with industry trends and technologies, which is crucial for this role.
How to prepare for a job interview at webAI
✨Showcase Your AWS Expertise
Make sure to highlight your experience with AWS services, especially Amazon Lex and other AI/ML tools. Be prepared to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Your Coding Skills
Since the role requires proficiency in TypeScript, be ready to solve coding challenges during the interview. Brush up on your TypeScript knowledge and be prepared to write clean, efficient code on the spot.
✨Discuss DevOps Practices
Familiarise yourself with DevOps methodologies, particularly CI/CD pipelines and infrastructure as code. Be ready to explain how you've implemented these practices in previous roles and their impact on project success.
✨Prepare for Problem-Solving Scenarios
Expect to face technical problem-solving questions that assess your analytical skills. Practice articulating your thought process clearly, as strong communication is key to demonstrating your ability to troubleshoot complex issues.