Software Engineer - AI Platform (Frontend)

Vuejobs; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Lunch vouchers

Profit sharing

Job summary

DiliTrust is building a dedicated frontend squad around Lini, its AI engine, and seeks a strong Software Engineer with Vue.js focus to advance the platform. You will own features end-to-end, from design to deployment, across AI-enabled capabilities, and collaborate with product, ML, and design teams to deliver scalable solutions.

The role emphasizes clean, production-ready code, curiosity about AI, and turning model capabilities into great user experiences within a global SaaS suite.

Qualifications

• 5+ years of professional software engineering experience on B2B SaaS platforms in production.
• Proven ownership of features end-to-end from scoping and design to deployment and iteration.
• Experience 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.

Responsibilities

• Ship high-quality AI features in collaboration with ML, product, and engineering squads.
• Contribute to architecture discussions on LLM integration, context management, and scalability.
• Write well-tested, documented, and maintainable code; participate in code reviews.
• Help define and uphold squad engineering standards: testing, observability, CI/CD practices.
• Identify cross-team dependencies early and contribute to unblocking them.
• Grow understanding of LLM patterns and AI product design to bring ideas to team discussions.

Skills

Frontend Vue.js 3

Node.js/TypeScript

REST API design

LLM integration patterns

Tools

PostgreSQL

Docker

Kubernetes

Terraform

Job description

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

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)
2. Interview with the Engineering Manager (1h)
3. Technical interview (1h30 mins)
4. Interview with the Head of Engineering (45 mins)