Software Engineer - AI Platform (Frontend)

DiliTrust; Paris; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Lunch vouchers

Profit sharing

CSE

Job summary

DiliTrust is hiring a Software Engineer focused on frontend technologies to advance our AI-powered platform Lini across the SaaS suite. You will partner with ML, product, and engineering teams to deliver robust, scalable features and a strong user experience.

We value ownership, clear communication, and curiosity about AI-driven design. Join a fast-growing, international company with offices across multiple countries and a flexible remote policy.

Qualifications

• 5/7+ years of professional software engineering in B2B SaaS.
• Owns features end-to-end from scoping to deployment.
• Experience in cross-functional teams.
• AI/ML exposure is a plus but not required.

Responsibilities

• Collaborate with ML, product and engineering to ship high-quality AI features.
• Contribute to architecture discussions on LLM integration, context management, and scalability.
• Write well-tested, documented code; participate in code reviews.
• Uphold squad engineering standards: testing, observability, CI/CD.
• Identify and unblock cross-team dependencies early.
• Continuously improve understanding of LLM patterns and AI product design.

Skills

Frontend Vue.js 3

Node.js/TypeScript

REST/API design

Tools

Docker

Kubernetes

Terraform

PostgreSQL

MariaDB

GCP

Job description

Ready to be part of the Legal Tech revolution?

Vision:

As a leading software-as-a-service (SaaS) provider,DiliTrustis 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 toleveragingAI-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 clientelecomprisinglisted companiesin major markets such as Europe, North America, and the Middle East.

Our Recognition:

DiliTrusthas 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 isDiliTrust'sproprietary 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 amodelcapability intoa greatuser 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;participateactively in code reviews

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

• Identifyand 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

• Proventrack recordof 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 notrequired, but genuine curiosity is

TechnicalExpertise:

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

• Solid experience with webarchitecturesand REST/API design

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

SoftSkills&Mindset:

• Strong senseof 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

WhatWeOffer:

• 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 sharingbonusand more...

RecruitmentProcess:

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)