At a Glance
- Tasks: Design and optimise real-time conversational AI systems for contact centres.
- Company: ConnexAI, a forward-thinking tech company based in Manchester.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team with a focus on innovation and collaboration.
- Why this job: Join a team shaping the future of AI interactions in real-world settings.
- Qualifications: Strong background in backend systems, cloud infrastructure (AWS), and performance engineering.
The predicted salary is between 60000 - 80000 € per year.
ConnexAI in Manchester seeks an LLM Systems Engineer to develop real-time conversational AI systems for contact centers. You will focus on designing and optimizing infrastructure, ensuring reliability and performance under load, and collaborating with data scientists and engineers to create scalable solutions.
Ideal candidates have strong backgrounds in backend systems, cloud infrastructure (preferably AWS), and performance engineering. This role is critical for delivering high-quality AI interactions in real-world environments.
Real-Time LLM Systems Engineer: Scalable Conversational AI in Manchester employer: ConnexAI
ConnexAI is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal place for those passionate about advancing their careers in cutting-edge AI technology. Join us to be part of a forward-thinking team dedicated to creating impactful solutions in the realm of conversational AI.
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time LLM Systems Engineer: Scalable Conversational AI in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with conversational AI. Attend meetups or webinars to connect with potential employers and show them your passion for real-time systems.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your experience with backend systems and cloud infrastructure. Include any projects you've worked on that demonstrate your ability to optimise performance under load.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AWS and performance engineering. Practice common interview questions and scenarios related to scalable solutions to impress your interviewers.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Tailor your application to highlight how your skills align with the role of LLM Systems Engineer at ConnexAI.
We think you need these skills to ace Real-Time LLM Systems Engineer: Scalable Conversational AI in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with backend systems and cloud infrastructure, especially if you've worked with AWS. We want to see how your skills align with the role of an LLM Systems Engineer.
Showcase Your Projects:Include any relevant projects or experiences that demonstrate your ability to design and optimise infrastructure for real-time systems. We love seeing practical examples of your work!
Craft a Compelling Cover Letter:Use your cover letter to explain why you're passionate about scalable conversational AI. Let us know how your background in performance engineering can contribute to delivering high-quality AI interactions.
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 ConnexAI
✨Know Your Tech Inside Out
Make sure you’re well-versed in backend systems and cloud infrastructure, especially AWS. Brush up on your knowledge of real-time systems and performance engineering, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly those related to scalability and reliability. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Collaborate Like a Pro
Since this role involves working closely with data scientists and engineers, be ready to talk about your experience in collaborative projects. Share examples of how you’ve successfully worked in teams to deliver scalable solutions.
✨Ask Insightful Questions
Prepare thoughtful questions about ConnexAI’s current projects and future goals. This shows your genuine interest in the role and helps you understand how you can contribute to their mission of delivering high-quality AI interactions.
