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  • DiliTrust

    Paris - La Défense

    • 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: 

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

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

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

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

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

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

     

    Experience & Seniority: 

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

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

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

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

    Technical Expertise: 

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

    • Solid experience with web architectures and REST/API design 

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

    Soft Skills & Mindset: 

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

    • Clear communicator, both in writing and in technical discussions 

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

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

    • Collaborative and able to give and receive feedback constructively 

     

    Our Tech Stack 

    • Backend: Node.js / TypeScript 

    • Database: PostgreSQL, MariaDB 

    • DevOps: Docker, Kubernetes, Terraform 

    • Cloud: GCP 

     

    What We Offer: 

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

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

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

    Recruitment Process: 

    1. Interview with a TA team member (30/45 mins) 

    1. Interview with the Engineering Manager (1h) 

    1. Technical interview (1h30 mins) 

    1. Interview with the Head of Engineering (45 mins) 

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