At a Glance
- Tasks: Design and implement AI-enhanced development workflows for customers using Codex.
- Company: Join a leading tech company transforming software development with AI tools.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on customer success and technical excellence.
- Why this job: Be at the forefront of AI innovation and help shape the future of coding.
- Qualifications: 5+ years in technical consulting and a passion for AI coding tools.
The predicted salary is between 60000 - 80000 £ per year.
About the team
The Codex Deployment Engineering team helps customers adopt the company's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side‑by‑side to accelerate how they plan, build, and deliver software.
About the Role
We are seeking a technically deep, creativity‑driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands‑on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt.
This is a highly cross‑functional role that blends technical architecture, product strategy, and customer‑facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies.
In this role, you will:
- Serve as the primary technical subject matter expert on the company Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
- Partner directly with customers to design and implement AI‑enhanced development workflows, from rapid prototyping through scalable production rollout.
- Build high‑quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
- Lead large‑format workshops, technical deep dives, and hands‑on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
- Contribute technical content including examples, guides, patterns, and best practices to the company Cookbook to help the broader developer community accelerate their work with Codex.
- Gather high‑fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
- Influence customer strategy and decision‑making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
- Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best‑practice adoption.
You'll thrive in this role if you:
- Have 5+ years of technical consulting, post‑sales engineering, solutions architecture, or similar experience working directly with customers.
- Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive.
- Enjoy building scrappy, high‑signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process.
- Have experience delivering large, high‑impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands‑on, and outcomes‑driven.
- Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact.
- Communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI.
- Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand‑in‑hand with customers.
- Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity.
AI Deployment Engineer | Codex in London employer: United States Digital Space LLC
At Codex, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. As an AI Deployment Engineer, you'll not only have the opportunity to work with cutting-edge technology but also benefit from extensive professional development resources and a supportive team environment that encourages creativity and growth. Our commitment to employee success is matched by our focus on customer impact, making this an ideal place for those looking to make a meaningful difference in the tech landscape.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer | Codex 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 United States Digital Space LLC 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 United States Digital Space LLC.
✨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 United States Digital Space LLC.
✨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 United States Digital Space LLC 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 AI Deployment Engineer | Codex in London
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 United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC 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 United States Digital Space LLC
✨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 United States Digital Space LLC 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.
