Software Engineer - AI Platform (Frontend)

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 

• Frontend: Vue.js3 

• Database: PostgreSQL, MariaDB 

• DevOps: Docker, Kubernetes, Terraform 

• Cloud: GCP