At a Glance
- Tasks: Design and build AI-driven microservices while collaborating with cross-functional teams.
- Company: Leading ICT Recruitment Consultancy with a focus on innovation.
- Benefits: Competitive daily rates of £400 - £450 and flexible remote work.
- Why this job: Join a cutting-edge project and drive advancements in AI/ML technology.
- Qualifications: Strong experience with Azure OpenAI and a passion for AI/ML.
- Other info: 5-month contract with opportunities for professional growth.
The predicted salary is between 96000 - 108000 £ per year.
A leading ICT Recruitment Consultancy is seeking a Full Stack Engineer for a 5-month contract. The role is primarily remote, requiring 3 days per week onsite in Sheffield.
Key responsibilities include:
- Designing and building microservices solutions
- Collaborating with cross-functional teams
- Driving development of backend systems
Competitive daily rates between £400 - £450 are offered. Ideal candidates have strong experience with Azure OpenAI and a passion for AI/ML advancements.
Full Stack Engineer: Build AI-Driven Microservices (Remote) employer: LA International
Contact Detail:
LA International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer: Build AI-Driven Microservices (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI and microservices. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure OpenAI or microservices. 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 your technical knowledge and soft skills. Practice common interview questions related to full stack development and be ready to discuss your experience with AI/ML advancements.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Full Stack Engineer: Build AI-Driven Microservices (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with microservices and AI/ML. 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 and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Since this role involves working with Azure OpenAI, make sure to mention any relevant experience you have. We love seeing specific examples of how you've used these technologies in past projects.
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 LA International
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure OpenAI. Brush up on your knowledge of microservices architecture and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, prepare examples that highlight your teamwork and communication skills. Think of specific instances where you successfully collaborated with others to achieve a common goal.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice coding problems or system design scenarios related to backend development and microservices. This will help you demonstrate your problem-solving abilities effectively.
✨Express Your Passion for AI/ML
The company is looking for candidates who are passionate about AI and machine learning advancements. Be prepared to discuss your interest in these areas, any relevant projects you've worked on, and how you see the future of AI impacting software development.