Real-Time LLM Systems Engineer in Manchester

Real-Time LLM Systems Engineer in Manchester

Manchester Full-Time 60000 - 80000 £ / year (est.) No working from home possible
ConnexAI

At a Glance

  • Tasks: Design and enhance infrastructure for low-latency conversational AI systems.
  • Company: ConnexAI, a forward-thinking tech company based in Manchester.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Dynamic work environment with a focus on innovation and collaboration.
  • Why this job: Join a team shaping the future of conversational AI with real-time impact.
  • Qualifications: Experience in building production systems and strong performance engineering skills.

The predicted salary is between 60000 - 80000 £ per year.

ConnexAI in Manchester is seeking an experienced LLM Systems Engineer to join our team focused on conversational AI systems. You will play a crucial role in designing and improving the infrastructure that enables low-latency conversational workflows.

The ideal candidate should have solid experience in building production systems, strong performance engineering skills, and familiarity with AWS. You will help ensure our AI solutions deliver reliable real-time responses in demanding environments.

Real-Time LLM Systems Engineer 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 ongoing professional development opportunities, competitive compensation, and a supportive environment that values creativity and technical expertise. Join us to be part of a forward-thinking team dedicated to shaping the future of conversational AI while enjoying the unique advantages of working in a thriving tech hub.

ConnexAI

Contact Details:

ConnexAI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Real-Time LLM Systems Engineer in Manchester

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ConnexAI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ConnexAI.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ConnexAI.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ConnexAI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Real-Time LLM Systems Engineer in Manchester

LLM Systems Engineering
Conversational AI
Infrastructure Design
Performance Engineering
Production Systems Development
AWS Familiarity
Low-Latency Workflow Optimization

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ConnexAI.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ConnexAI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at ConnexAI

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ConnexAI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.