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- Tasks: Develop and maintain AI solutions using cutting-edge technologies like Docker, Kubernetes, and Terraform.
- Company: Join Kindred Group plc, a leading player in the online gaming industry, known for innovation.
- Benefits: Enjoy flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of AI in gaming with impactful projects.
- Qualifications: Experience in cloud environments (AWS, Azure) and proficiency in JavaScript/TypeScript required.
- Other info: Work in a collaborative culture that values creativity and encourages continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
Skills and Responsibilities
As a developer, you will be working on pipelines with Airflow, ensuring robust CI/CD and IaC practices with Terraform and CloudFormation. Additionally, you will containerize solutions using Docker and Kubernetes .
Your work will involve spanning multiple cloud environments such as AWS (EC2, S3, Lambda, CodePipeline, AWS Bedrock) and Azure (Azure AI Foundry). You will also be responsible for integrating front-end customizations in JavaScript/TypeScript for chatbots and interactive interfaces. Furthermore, you will contribute to the modular, scalable RAG platform development, integrating structured data…
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Senior AI Solutions Engineer in London - Kindred Group plc employer: WorksHub
Contact Detail:
WorksHub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Solutions Engineer in London - Kindred Group plc
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Airflow, Terraform, and Docker. Having hands-on experience or projects showcasing these skills can significantly boost your chances.
✨Tip Number 2
Network with professionals in the AI and cloud engineering fields. Attend meetups or webinars related to AWS and Azure, as this can help you gain insights and potentially connect with someone at Kindred Group.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've tackled challenges in previous roles, especially those involving CI/CD practices and containerisation. Be ready to discuss these during interviews.
✨Tip Number 4
Stay updated on the latest trends in AI and cloud technologies. Being knowledgeable about recent advancements can help you stand out in discussions and demonstrate your passion for the field.
We think you need these skills to ace Senior AI Solutions Engineer in London - Kindred Group plc
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the specific skills and responsibilities outlined in the job description. Highlight your experience with Airflow, Terraform, Docker, Kubernetes, and cloud environments like AWS and Azure.
Tailor Your CV: Customise your CV to reflect relevant experiences that align with the job requirements. Emphasise your expertise in CI/CD practices, containerization, and any projects involving chatbots or interactive interfaces.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI solutions and your understanding of the technologies mentioned. Use specific examples from your past work to demonstrate how you can contribute to the modular, scalable RAG platform development.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your writing is clear and professional, as attention to detail is crucial in technical roles.
How to prepare for a job interview at WorksHub
✨Showcase Your Technical Skills
Make sure to highlight your experience with Airflow, Terraform, and CloudFormation during the interview. Be prepared to discuss specific projects where you've implemented CI/CD practices and how you approached containerization with Docker and Kubernetes.
✨Demonstrate Cloud Knowledge
Since the role involves working across AWS and Azure, brush up on your knowledge of these platforms. Be ready to explain how you've used services like EC2, S3, and Lambda in past projects, and how you would approach integrating them into a scalable solution.
✨Prepare for Front-End Integration Questions
As the position requires integrating front-end customizations, be prepared to discuss your experience with JavaScript and TypeScript. Think of examples where you've created chatbots or interactive interfaces, and be ready to share your thought process.
✨Understand the RAG Platform
Familiarise yourself with the concept of a modular, scalable RAG platform. Be prepared to discuss how you would contribute to its development and the importance of integrating structured data effectively.
