At a Glance
- Tasks: Design and deploy multi-agent systems while integrating RAG pipelines.
- Company: Model ML, a leader in AI technology and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for mentorship.
- Other info: Dynamic role with significant impact on AI development and career growth.
- Why this job: Join a cutting-edge team and shape the future of AI infrastructure.
- Qualifications: Experience in AI systems, strong coding skills, and a passion for mentoring.
The predicted salary is between 63000 - 77000 £ per year.
Model ML is seeking a Member of Technical Staff - AI to own and drive large portions of our AI agent infrastructure.
You will design and deploy multi-agent systems, integrate RAG pipelines, and deliver production-ready features at scale.
You will work across the stack—from frontend to backend, build data pipelines for model training, and mentor engineers while advancing security, performance, and reliability.
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Senior AI Infrastructure Engineer: RAG & Multi-Agent employer: Model ML
Model ML is an exceptional employer, offering a unique opportunity to work at the forefront of AI innovation in the heart of London. With direct access to experienced founders and a culture that prioritises high trust and impact, employees can expect to grow rapidly while shaping the future of enterprise AI marketing. The competitive salary, meaningful equity, and performance-based incentives further enhance the appeal of joining a team dedicated to building something iconic.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Infrastructure Engineer: RAG & Multi-Agent
✨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 Model ML 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 Model ML.
✨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 Model ML.
✨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 Model ML 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 Senior AI Infrastructure Engineer: RAG & Multi-Agent
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 Model ML.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Model ML 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 Model ML
✨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 Model ML 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.
