At a Glance
- Tasks: Build AI-driven legal services and develop innovative systems for real-world applications.
- Company: Join Alaro, an AI-native law firm redefining the legal industry.
- Benefits: Competitive salary, meaningful equity, and flexible remote work options.
- Other info: Enjoy high ownership and rapid learning in a dynamic, remote-first environment.
- Why this job: Make a real impact in a trillion-dollar industry with cutting-edge AI technology.
- Qualifications: Experience in Python, AI systems, and a passion for building production-ready solutions.
About Alaro
Alaro is building the next generation of legal services. We’re an AI-native law firm, built from day one around AI and data. Legal is a trillion-dollar global industry that still operates as if software never happened. AI is now rapidly realigning what’s possible. We believe AI doesn’t replace legal judgment - it replaces the operating model around it. Firms that rebuild around this shift will define the next era of legal services; others will struggle to justify their costs as AI reshapes client expectations.
With early customers and a world-class engineering team taking shape, it’s still day one - come build with us. We ship early to get real work into lawyers’ hands, then invest in stabilizing and improving what matters. Progress beats polish, but quality is non-negotiable.
High ownership, flexible schedules: You’re trusted to manage your time and take responsibility for what you ship, closing loops when things break.
AI-native by default: We use AI everywhere, not just in the product.
Remote-first, globally aligned: Competitive salary and meaningful equity, with real responsibility and impact from day one.
AI-first tooling: An unlimited budget for AI coding agents and tools. We expect you to use them heavily, and we design our systems so they can actually help.
At a high level: we are building a Cursor-like experience for legal documents and legal research - where an agent can search, reason over sources, and propose or apply edits while the lawyer stays in control.
This is an engineering-first applied AI role. To succeed, you’ll need to understand the full product surface (editor, retrieval, dashboard workflows), so you can spot where an agent should be given control - and ship it end-to-end.
- Document editing: an agent proposes changes and generates/applies patches to DOCX documents, built for legal reality: multiple collaborators, tracked changes, strict formatting, and high expectations for correctness.
- Search & retrieval: when a lawyer asks “search legislation” or “find similar contracts in our database,” the agent decomposes that into targeted queries, retrieves the right sources, and grounds outputs with citations.
- Deep research workflows: solving legal problems requires iterative investigation, where agents make progress step by step while keeping their active context focused and manageable.
- Training models: fine-tuning models becomes a necessity to optimize the above workflows. As internal data matures, the agent can learn from past interactions to become more intelligent.
We’re looking for engineers who care deeply about building real systems that work in production, not demos. You enjoy moving fast, learning by shipping, and pushing AI systems into demanding real-world environments.
- Ship production systems with high ownership and strong engineering judgment.
- Are comfortable building production AI and backend systems in Python.
- Have hands-on experience training models and running experiments.
We work remote-first with a preference for time zone overlap between GMT-5 and GMT+1.
Engineer gezocht in London employer: Alaro
Alaro is an exceptional employer for engineers seeking to innovate within the legal sector, offering a unique opportunity to work at the forefront of AI-driven legal services. With a remote-first culture that promotes high ownership and flexible schedules, employees are empowered to take responsibility for their contributions while enjoying competitive salaries and meaningful equity. The company fosters a collaborative environment where continuous learning and real-world impact are prioritised, making it an ideal place for those passionate about building robust systems in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Engineer gezocht 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 Alaro 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 Alaro.
✨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 Alaro.
✨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 Alaro 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 Engineer gezocht 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 Alaro.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Alaro 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 Alaro
✨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 Alaro 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.
