At a Glance
- Tasks: Architect a voice-enabled AI copilot and design low-latency microservices.
- Company: Dynamic tech startup with a focus on innovative AI solutions.
- Benefits: Flexible remote work across the EU and immediate impact on real users.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong expertise in Python, FastAPI, and multi-agent frameworks.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A dynamic tech startup is seeking a Senior/Staff AI Engineer to architect the core system for a voice-enabled AI copilot. This role requires strong expertise in Python and FastAPI, along with a proven ability to implement multi-agent frameworks.
You will design low-latency microservices and integrate real-time voice interfaces. Enjoy a flexible remote working environment across the EU, with immediate impact on production systems and support for real users from day one.
Senior AI Engineer - Remote EU, Build Multi-Agent LLMs in Liverpool employer: Cubiq Recruitment
Contact Detail:
Cubiq Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Remote EU, Build Multi-Agent LLMs in Liverpool
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with multi-agent frameworks. 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 Python and FastAPI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of low-latency microservices and real-time voice interfaces. Practise coding challenges and system design questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Engineer - Remote EU, Build Multi-Agent LLMs in Liverpool
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python and FastAPI in your application. We want to see how you’ve used these skills in past projects, especially when it comes to building multi-agent frameworks.
Tailor Your Application: Don’t just send a generic CV! Take the time to tailor your application to our job description. Mention specific experiences that relate to designing low-latency microservices and integrating voice interfaces.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications at a glance.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Cubiq Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your Python and FastAPI skills. Be ready to discuss specific projects where you've implemented multi-agent frameworks or designed low-latency microservices. The more detailed examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach designing a voice-enabled AI copilot. This is your chance to demonstrate your critical thinking and creativity in real-time.
✨Understand the Company’s Vision
Research the startup's mission and values. Be prepared to explain how your skills align with their goals and how you can contribute to their vision of creating impactful AI solutions. This shows genuine interest and helps you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the technology stack they use. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.