Experienced/Senior Fullstack Engineer

Our Mission
Since 2016, Doctrine has been committed to a major democratic challenge: making the law more accessible. We are the first AI-powered legal platform that helps lawyers and legal professionals free themselves from repetitive, time-consuming tasks so they can focus on what truly matters—at every stage of their work: whether it's understanding a case, conducting legal research, or drafting documents. Today, Doctrine welcomes over 1 million visits every month, with dozens of new legal professionals joining us every single day. Our ambition goes beyond borders: we aim to become the European leader in legal AI. After France, we have already launched Doctrine in Italy, and we are currently expanding into Germany with a strong conviction: you must think globally while executing locally. That's why we work closely with our clients, striving to understand the unique subtleties of each legal system. And this is just the beginning
Our Values
Challenge the status quo. We embrace bold ideas and smart risk-taking. Liberty and responsibility. We promote autonomy, individual impact, and ownership. Knowledge is power. Information lies at the heart of Doctrine's mission, and we always want to learn more. Release early, release often, and listen to your customers. We believe in the power of iteration and in constantly listening to our market, our clients, and their challenges.
The context
Following rapid and profitable growth in France, Doctrine is laying the first foundations of its international expansion in Germany. We are looking for our first Machine Learning Engineer to help us launch the very first legal intelligence platform on the German market.
This is a strategic role that will directly impact the product roadmap and Doctrine's future success in Germany.
Please note: the position is based in Paris, in our offices in the 8th arrondissement.
You can find details about our full stack on Github 
Good to know: prior professional experience in the legal field is not required. However, being eager to commit and build expertise in understanding legal documents is essential. Missions

• Work with product designers on features that help lawyers and legal professionals increase their productivity.
• Implement and maintain SQL and Elasticsearch queries.
• Help promote and strengthen our internal best practices, and contribute to shaping our Engineering strategy.

Ideal Profil

• Strong experience in building front-ends and APIs (whether you lean more toward backend or frontend is totally fine).
• Good knowledge of NodeJS, TypeScript, React/Redux/SWR or another front-end framework, and NestJS or another server-side framework.
• Solid understanding of SQL.
• A genuine interest in code quality and best engineering practices (e.g., testing, CI/CD), with the ambition to deliver highly reliable and highly available applications.
• Familiarity with agile workflows and a strong focus on product and user experience.
• A willingness to share knowledge and give constructive feedback to help your teammates grow.

Extras of the role

• Like all engineers at Doctrine, you will join one of our cross-functional chapters — in this case, the Data Science chapter. Within this chapter, you will contribute to internal projects aimed at improving our processes and shaping our long-term vision. The chapter meets every week to:
• Share knowledge: keep track of the state of the art, review scientific papers, continuous improvement, best practices, etc.
• Propose improvements: experiment with new tools, suggest new processes to implement.
• You will also take part in recruitment: all individual contributors meet candidates through technical assessments or interviews.

What Awaits You if You Join Doctrine
- Contribute to an ambitious project with a real, positive impact on society: making the law more accessible and open. - Benefit from tailored onboarding in the legal ecosystem to help you quickly navigate this stimulating environment. - Join an adventure where you'll constantly learn and share your knowledge with colleagues (internal/external talks, meetups, Tech & Sales Monthly, Medium blog, etc.). - Work in a dynamic, ever-evolving team: plenty of room to innovate, lead projects independently, or collaborate in teams.
Our Perks to Make a Difference
Flexible remote work policy: 2 days per week at the office (Tuesdays and Thursdays) Many career opportunities, with open internal mobility across Doctrine Flexible and unlimited vacation policy A strong focus on training: €750 yearly budget for self-directed learning, plus regular team and company-wide training Regular team events Great health insurance with Alan Sustainable mobility package of €66/month Gymlib subscription for sports and wellness activities Swile meal card Free access to for mental health support Hundreds of discounts and perks through our CSE Brand-new Apple equipment
Our Recruitment Process
- A 30-minute first call with one of our Talent Acquisition Managers to understand your career goals and introduce Doctrine's mission. - A 1-hour meeting with your future manager to dive into the role, team scope, and answer your questions. - One or two technical assessments to evaluate your skills in practice. - An onsite visit to our offices including: lunch with 3 team members from different departments (to give you a glimpse of your future colleagues), a discussion on our company values to share our vision, and a meeting with our CEO, Guillaume. (If necessary, the process can be adapted to meet your personal or professional needs.)
Ladies, allow yourself to apply Some studies show that women in particular are less likely to apply for a job if they don't meet 100% of the listed requirements. To reassure you: this job description is indicative—it's a guide, nothing more. If Doctrine interests you, we'd be delighted to receive your application
Diversity & Inclusion All our positions are open to people with disabilities. Please feel free to share any needs during the recruitment process. We are committed to implementing all necessary accommodations to ensure a work environment that is adapted to everyone.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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