Backend API Engineer for Scalable Inference in London

Backend API Engineer for Scalable Inference in London

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

At a Glance

  • Tasks: Build and maintain APIs for AI models, ensuring high performance and reliability.
  • Company: Join xAI, a forward-thinking company at the forefront of AI technology.
  • Benefits: Enjoy a flat structure, personal growth opportunities, and a collaborative team environment.
  • Other info: Be part of a motivated team driving innovative AI solutions.
  • Why this job: Make a real impact in the AI space while working with cutting-edge technologies.
  • Qualifications: Expertise in Rust or C++, experience with distributed systems, and database knowledge.

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

xAI is seeking a skilled software engineer to build their API that serves AI models to developers globally. The ideal candidate will have expert knowledge of Rust or C++, experience in designing reliable distributed systems, and familiarity with databases like PostgreSQL and MongoDB.

The role entails owning the entire system for high-throughput inference and contributing to innovative AI solutions within a motivated team. xAI values communication and initiative, offering a flat structure and opportunities for personal growth.

Backend API Engineer for Scalable Inference in London employer: xAI

At xAI, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our flat organisational structure encourages open communication and initiative, allowing our Backend API Engineers to take ownership of their projects while contributing to cutting-edge AI solutions. Located in a vibrant tech hub, we offer ample opportunities for personal and professional growth, making it a rewarding environment for those looking to make a meaningful impact in the field of AI.

xAI

Contact Details:

xAI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Backend API Engineer for Scalable Inference in London

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 xAI 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 xAI.

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 xAI.

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 xAI 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 Backend API Engineer for Scalable Inference in London

Rust
C++
API Development
Distributed Systems Design
PostgreSQL
MongoDB
High-Throughput Inference

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 xAI.

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

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 xAI 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.