At a Glance
- Tasks: Architect and build AI-powered products while collaborating with a dynamic team.
- Company: Join Genie AI, a cutting-edge startup transforming the legal landscape.
- Benefits: Enjoy remote work, unlimited holiday, and a generous learning budget.
- Other info: Be part of a diverse team committed to making legal services accessible.
- Why this job: Shape the future of legal tech and unleash your entrepreneurial spirit.
- Qualifications: Strong Node.js skills and a passion for innovative problem-solving.
The predicted salary is between 70000 - 90000 £ per year.
Open to Junior, Mid & Senior – we are looking for 2–3 exceptional people.
Your purpose in our mission: We’ve raised $17.8 million in Series A funding led by Google Ventures and joined by Khosla Ventures. They believe in our vision that the law should be accessible to everyone, and this is where your skills come in.
We are looking for engineers who:
- Think in systems using AI agents
- Co‑design with AI before they build
- Learn very fast and move super fast
- Are ready to jump into interview and commit quickly
- Want to work at a truly AI‑centric company
- Have entrepreneurial mindset and hungry to build
Your manager and team: Our org structure is made up of pods with distinct areas of focus to keep us all working on the most impactful things for our customers all of the time. Some of our team members work across multiple pods. Our structure was conceived with impact, autonomy and velocity in mind and we'd love to share more with you throughout our interview process. Your manager, Daniele, Head of Engineering, will develop your skills and enable you to deliver on the pod mission.
This is what you’ll be doing:
- Architect and build AI‑powered products end‑to‑end
- Build and manage a fleet of agents
- Design technical systems that multiply team output
- Help us build the Agentic Legal Framework and our Knowledge Intelligence Platform
- Safeguard the team’s future by elevating engineering from individual contribution to 10x team output
You won’t just ship features. You’ll shape how we build products in the age of AI.
Design AI‑first technical systems: Own technical design from first principles, use design patterns deliberately and architect scalable Node.js systems.
Manage and orchestrate AI agents: Build, deploy and maintain subagents, improving agentic effectiveness and design workflows that scale with agents.
Build end to end products: Own features from ideation -> architecture -> implementation -> shipping and move beyond ‘frontend’ or ‘backend’ silos.
Collaborate as a 10x team: Backcast from product outcomes and build most of the solution at once, share knowledge openly, elevate peers and design for collective intelligence.
Contribute to core strategic initiatives: Agentic Legal Framework, Knowledge Intelligence Platform, AIOps evolution.
This is how we’ll set you up for success and the outcomes we expect from you:
Over your first 90 days you can expect us to help point you in the right direction to set you up for success. During the interview process we can talk you through a high level overview of your 90 day plan. By the end of your first three months we expect you to be:
- Month 1: Build, manage and maintain your first subagent. Understand and contribute to our AIOps workflows.
- Month 2: Fully own and manage an assigned product end‑to‑end.
- Month 3: Proactively contributing to product roadmap.
By 6 months you will:
- Independently design and ship AI‑native systems.
- Be leading technical decisions on your product.
- Multiply team output through agentic leverage.
We’ll continually develop and measure success on the below criteria:
- Agentic effectiveness
- Technical design quality
- Ability to contribute to AIOps
It can be tough here because:
- We have found a better way of working, different from the traditional agile that is based on our "AI‑engineering" new culture.
- The problems change quickly.
- We move fast.
- There are few precedents for this kind of engineering.
- You won’t have detailed specs; you’ll create clarity.
But we think you’ll love:
- Being at a truly AI‑first company.
- Building in a way that most engineers haven’t even discovered yet.
- Radical ownership and autonomy.
- Working with ambitious, curious builders.
- Shaping the future of legal infrastructure.
- The opportunity to step into leadership quickly.
The skills you need to succeed in this role: We’re looking for someone who is adaptable, proactive and endlessly curious; someone who takes ownership, works autonomously and doesn’t wait to be told what to do. You’re entrepreneurial in your thinking, adaptable in fast‑changing environments and naturally step into leadership when needed. Above all, we care far more about your mindset, ambition and leverage potential than the number of years you’ve spent in a role.
Required technical skills are:
- Strong Node.js experience
- Backend experience with frontend exposure or full‑stack experience
- Strong technical design capability
- Deep understanding of design patterns
- Experience experimenting with coding co‑pilots / AI coding tools
- Systems thinking
We can’t wait to meet you! Bring your authentic self, and get ready to explore our culture, team events, and big mission.
Our benefits:
- Generous Stock Options: We want all our genies to share in our success.
- Private healthcare: To help keep you fit as a fiddle.
- Fully Remote Working: Work from anywhere your heart desires.
- Unlimited book budget: Dive into an unlimited budget for business, law, or technology books.
- Home Office Setup: Equip your home office with the best – a top‑of‑the‑range laptop, monitor, wireless keyboard, mouse, and a comfortable office chair.
- Learning and Development Budget: Each Genie gets an individual £500 L&D budget annually, plus five days off for any job‑specific learning adventures.
- Unlimited Holiday: Take as much time off as you need to recharge your batteries.
- Parental Leave: Both genie parents get enhanced leave to welcome their little genies into the world.
- Free access to Genie: For you to create, negotiate and collaborate on legal documents in real time on one platform!
About Genie AI: Genie AI is a machine learning startup with a mission to enable everyone to draft quality legal documents. We're shaking up the legal world and flipping the business model on its head! Think of what GitHub did with open source code, Instagram and TikTok with entertainment, Airbnb with hospitality, and Uber with travel – Genie AI is doing that with legal contracts. We're conjuring up a community‑based AI law platform that'll change the game. Join us, and let’s make some legal magic together!
100,000 companies use Genie AI today - we’ve been growing exponentially! We’re funded by the world’s top investors, with significant runway - and we’re growing the team. We’ve collaborated with Oxford University and Imperial College London to co‑author research papers on explainable AI. According to Forbes, we're also rated one of the top 29 AI startups in the UK. We’re a Sunday Times Best Places to Work Award Winner 2024. We’re backed by top legal pedigree, from Lord Neuberger to representing the UK on multiple Ministry of Justice trade missions. Our customers save on average £15,000 on legal fees per year with Genie. This isn’t just a SaaS product - we’re redefining the business model of law.
At Genie, we’re committed to creating a diverse environment. Whilst we’re on the cutting edge of innovation, it’s all about the people. We embrace differences and hire based on merit, giving equal consideration to all applications, regardless of gender, background and race.
Agentic Engineer(s) in Milton Keynes employer: Genie AI
At Genie AI, we pride ourselves on being a truly AI-centric company that fosters a culture of radical ownership and autonomy. With generous benefits like unlimited holiday, a substantial learning and development budget, and the opportunity to work fully remotely, we empower our employees to thrive both personally and professionally. Join us in shaping the future of legal infrastructure while enjoying a collaborative environment filled with ambitious builders who are passionate about making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic Engineer(s) in Milton Keynes
✨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 Genie AI 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 Genie AI.
✨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 Genie AI.
✨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 Genie AI 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 Agentic Engineer(s) in Milton Keynes
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 Genie AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Genie AI 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 Genie AI
✨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 Genie AI 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.