At a Glance
- Tasks: Develop Python microservices and maintain serverless functions for AI-driven automation.
- Company: Leading tech recruitment agency with a focus on innovative AI solutions.
- Benefits: Dynamic work environment, competitive salary, and opportunities for professional growth.
- Why this job: Join a global consultancy and shape the future of AI technology.
- Qualifications: Strong microservices experience and expertise in LLM integration.
- Other info: Exciting projects in a collaborative atmosphere with a focus on innovation.
The predicted salary is between 60000 - 80000 £ per year.
A leading tech recruitment agency is seeking an experienced AI Engineer / Senior Python Engineer in Greater London. The ideal candidate will have strong microservices experience, expertise in LLM integration, and knowledge of the AWS serverless architecture.
Responsibilities include:
- Developing Python microservices
- Maintaining serverless functions
- Ensuring effective API design
This position offers a dynamic work environment within a global consultancy focused on AI-driven automation.
Senior AI Engineer: Prompt Orchestration on Bedrock in London employer: TechNET IT Recruitment Ltd
Contact Detail:
TechNET IT Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer: Prompt Orchestration on Bedrock in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI or Python. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving microservices and LLM integration. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on AWS serverless architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and technical knowledge.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities tailored for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior AI Engineer: Prompt Orchestration on Bedrock in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with microservices and LLM integration. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven automation and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your expertise in AWS serverless architecture and API design. We love seeing specific examples of how you've used these skills in past roles, so get into the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at TechNET IT Recruitment Ltd
✨Know Your Microservices Inside Out
Make sure you can discuss your experience with microservices in detail. Be ready to explain how you've developed and maintained them, especially in Python. Highlight any specific projects where you implemented microservices architecture.
✨Showcase Your LLM Integration Skills
Prepare examples of how you've integrated large language models (LLMs) into applications. Discuss the challenges you faced and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities.
✨Familiarise Yourself with AWS Serverless Architecture
Brush up on your knowledge of AWS serverless services like Lambda, API Gateway, and DynamoDB. Be prepared to discuss how you've used these tools in past projects and how they can enhance AI-driven automation.
✨Effective API Design is Key
Understand the principles of effective API design and be ready to talk about your approach. Share examples of APIs you've designed or worked with, focusing on usability and performance. This will show your technical depth and attention to detail.