Production AI Engineer: Build Scalable LLM Systems

Production AI Engineer: Build Scalable LLM Systems

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Radley James

At a Glance

  • Tasks: Build and ship production-grade AI systems, owning projects from idea to production.
  • Company: Radley James, a leader in innovative AI solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Fast-paced environment with exciting challenges and career advancement.
  • Why this job: Join a high-caliber team and influence the future of AI production.
  • Qualifications: Experience with AI/LLM systems and familiarity with ML pipelines.

The predicted salary is between 80000 - 100000 £ per year.

Radley James is seeking a hands-on Applied AI Engineer to build and ship production-grade AI systems. You will work across various elements including RAG pipelines and APIs, owning projects from idea to production.

The ideal candidate has experience with AI/LLM-powered systems, is familiar with ML pipelines, and thrives in fast-paced environments. This role offers a unique opportunity to influence AI production in a high-caliber team setting.

Production AI Engineer: Build Scalable LLM Systems employer: Radley James

Radley James is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about AI and technology. With a focus on employee growth, you will have the opportunity to lead impactful projects in a collaborative environment, while enjoying competitive benefits and a commitment to work-life balance. Join us in shaping the future of AI systems in a supportive and fast-paced setting.

Radley James

Contact Details:

Radley James Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Production AI Engineer: Build Scalable LLM Systems

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 Radley James 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 Radley James.

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 Radley James.

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 Radley James 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 Production AI Engineer: Build Scalable LLM Systems

Applied AI Engineering
Production-grade AI Systems
RAG Pipelines
APIs
AI/LLM-powered Systems
ML Pipelines
Project Ownership

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 Radley James.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Radley James 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 Radley James

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 Radley James 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.