Software Engineer - AI Platform (Fullstack) in Paris

p Paris - La Défense

RD – Engineering /

Permanent /

Hybrid

Ready to be part of the Legal Tech revolution?

Vision:

As a leading software-as-a-service (SaaS) provider, DiliTrust is a global company dedicated to offering an integrated suite of legal and governance products. Our vision is to digitize legal departments worldwide. With an annual growth rate of over 40% since 2020, our ambition is to become the world's leading Legal Tech company, aiming for a valuation exceeding $1 billion by 2026.

Our Impact:

From generating General Meeting reports to leveraging AI-assisted contract lifecycle management, our teams in our 8 offices across France, the US, Mexico, MEA, Germany, Spain, Italy, and Canada are the driving force behind our global success. We proudly support 2,400 customers in 64 countries, with 80% of our clientele comprising listed companies in major markets such as Europe, North America, and the Middle East.

Our Recognition:

DiliTrust has been at the forefront of Legal Tech innovation, being the first Legal Tech with AI features since 2022. The company is renowned for providing a positive and entrepreneurial work environment. We are honored to have received the "Happy at Work" and "Tech at Work" labels every year since 2019.

The Role:

Lini is DiliTrust's proprietary AI engine, powering Ask Lini, Risk Detector, Document Summarization, Minute Generation, and every AI capability across the suite.

We are building a dedicated squad around it and are looking for a strong Software Engineer, with a focus on the Frontend part of our platform, to help us bring it to the next level.

As a Software Engineer work at the intersection of AI, product, and engineering. You will contribute to building, improving, and scaling the features that make Lini a reliable and powerful AI layer across the entire DiliTrust suite.

We are looking for an engineer who writes clean, production-ready code and is comfortable taking ownership of features end-to-end, from technical design to deployment. We also care about how you think about AI: whether you bring genuine curiosity to the product, and whether you can translate a model capability into a great user experience.

Missions:

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• Collaborate closely with the ML team, Product Managers, and other engineering squads to ship high-quality AI features

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• Contribute to architecture discussions and propose solutions to technical challenges related to LLM integration, context management, and scalability

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• Write well-tested, documented, and maintainable code; participate actively in code reviews

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• Help define and uphold the squad's engineering standards: testing, observability, CI/CD practices

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• Identify and flag cross-team dependencies early, and contribute to unblocking them

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• Continuously improve your understanding of LLM patterns and AI product design to bring relevant ideas into team conversations

Experience Seniority:

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• 5/7+ years of professional software engineering experience, with meaningful time spent on B2B SaaS platforms in production

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• Proven track record of owning features end-to-end: from scoping and design to deployment and iteration

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• Experience working in cross-functional teams (product, design, ML, or data)

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• First exposure to AI or ML-powered products is a strong plus; deep expertise is not required, but genuine curiosity is

Technical Expertise:

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• Strong proficiency in Frontend Vue.js 3 and in Node.js or TypeScript

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• Solid experience with web architectures and REST/API design

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• Familiarity with LLM integration patterns (RAG, streaming, tool use, context management) is a strong plus

Soft Skills Mindset:

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• Strong sense of ownership: you follow through, raise blockers early, and care about outcomes

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• Clear communicator, both in writing and in technical discussions

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• You engage with the product, ask "why" as often as "how", and consider yourself a stakeholder in what your squad ships

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• You see AI as a design question as much as an engineering one, and bring that perspective to your work

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• Collaborative and able to give and receive feedback constructively

Our Tech Stack

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• Backend: a rel="nofollow" Node.js /a / TypeScript

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• Frontend: a rel="nofollow" Vue.js3 /a

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• Database: PostgreSQL, MariaDB

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• DevOps: Docker, Kubernetes, Terraform

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• Cloud: GCP

What We Offer:

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• Join a fast-growing company in a friendly, international environment (offices in France, Italy, Spain, Canada, Germany, USA, Dubai, Marocco...)

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• Our "Remote Policy" guarantees that you can find the right balance between onsite and remote work

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• Day-to-day benefits: CSE, lunch vouchers, profit sharing bonus and more...

Recruitment Process:

• Interview with a TA team member (30/45 mins)
• Interview with the Engineering Manager (1h)
• Technical interview (1h30 mins)
• Interview with the Head of Engineering (45 mins)

p We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.