Codex Core Agent Engineer: Turn AI into Reliable Tools in London

Codex Core Agent Engineer: Turn AI into Reliable Tools in London

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

At a Glance

  • Tasks: Enhance AI agents and optimise performance for coding tasks.
  • Company: Join OpenAI, a leader in applied AI innovation.
  • Benefits: Competitive salary, flexible work options, and growth opportunities.
  • Other info: Collaborative environment bridging research and real-world applications.
  • Why this job: Shape the future of technology with cutting-edge AI tools.
  • Qualifications: Experience in machine learning and proficiency in Python required.

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

OpenAI seeks applied AI engineers to enhance Codex agents, focusing on transforming impressive demos into reliable tools. This role involves optimizing agent performance on coding tasks, while collaborating with research, product, and infrastructure teams to bridge the gap between research capabilities and real-world application.

The ideal candidates have experience in machine learning, are proficient in Python, and are keen on turning model potential into workable systems. Join us in shaping the future of technology.

Codex Core Agent Engineer: Turn AI into Reliable Tools in London employer: OpenAI

OpenAI is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for applied AI engineers. With a strong focus on employee growth, we offer opportunities to work alongside leading experts in the field, while our commitment to transforming cutting-edge research into practical applications ensures that your contributions will have a meaningful impact on the future of technology.

OpenAI

Contact Details:

OpenAI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Codex Core Agent Engineer: Turn AI into Reliable Tools 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 OpenAI 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 OpenAI.

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 OpenAI.

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 OpenAI 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 Codex Core Agent Engineer: Turn AI into Reliable Tools in London

Applied AI Engineering
Machine Learning
Python
Agent Performance Optimisation
Collaboration Skills
Research and Development
Real-World Application

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 OpenAI.

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

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 OpenAI 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.