Engineering Manager - AI platform

DiliTrust; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Remote work policy

Luncheon vouchers

Profit sharing bonuses

Résumé du poste

DiliTrust is seeking an Engineering Manager for the Lini AI Platform to lead a dedicated squad and drive both technical quality and people development. You will report to the Head of Engineering and bridge ML, product, and feature engineering to ship production-ready capabilities.

You will code ~30% of your time, own end-to-end delivery, define integration architectures, participate in roadmap planning, and mentor engineers toward senior roles.

Qualifications

• 3+ years managing an engineering team or squad in a product-oriented environment.
• Proven track record of owning technical decisions: architecture, scalability, code quality.
• Background at the intersection of AI or ML and product engineering: model capability to production UX.
• Proven ability to coordinate across ML, product, and engineering teams.
• Fluent in French and English.

Responsabilités

• Define and ship Lini features in collaboration with ML, Product Managers, and feature squads.
• Translate model capabilities into product requirements and clear cross-team dependencies.
• Lead code reviews, own the squad's engineering standards, and contribute to architecture choices.
• Own delivery end-to-end: scoping, planning, deployment, and iteration for all Lini-powered features.
• Define and evolve Lini integration architecture across modules, including LLM connectors and context management.
• Partner with Head of Engineering on cross-squad initiatives, tech roadmap, and hiring.
• Run regular 1:1s, provide structured feedback, and mentor engineers toward senior roles.
• Set and maintain engineering best practices: testing, documentation, CI/CD, observability.

Connaissances

Team leadership

AI/ML integration

Cross-functional coordination

French & English fluency

Web architecture

Docker

Kubernetes

CI/CD

Outils

Docker

Kubernetes

CI/CD pipelines

Description du poste

Ready to be part of the Legal Tech revolution?

Vision :

Our Impact :

Our Recognition :

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 the engineer who will lead it.

As Engineering Manager for the Lini AI Platform, you will report directly to the Head of Engineering and lead a squad yet to be hired, fully focused on Lini initiatives. You will own both the technical quality and the human dimension of the team, from architecture decisions to individual growth plans.

A key part of the role is coordination: you sit at the intersection of ML, product, and feature engineering, and you are accountable for making those conversations productive.

We are looking for a senior engineer who grew into leadership and kept writing code (~30% of your time), while driving delivery, standards, and culture.

We also care about how you think about AI: whether you approach it as a design question as much as an engineering one, and whether you bring genuine curiosity and opinions into product conversations.

Missions :

• Work in close collaboration with the ML team, Product Managers, and feature squads to define and ship Lini features
• Translate model capabilities into product requirements, negotiate scope across teams, and clear cross-team dependencies before they become blockers
• Lead code reviews, own the squad's engineering standards, and weigh in on architecture choices
• Own delivery end-to-end: from scoping and planning to deployment and iteration, across all Lini-powered features in the DiliTrust Suite
• Define and evolve the integration architecture of Lini across modules, including LLM connectors and context management
• Partner with the Head of Engineering on cross-squad initiatives, technical roadmap, and hiring
• Run regular 1:1s, provide structured feedback, and support each engineer's career development
• Set and maintain engineering best practices: testing, documentation, CI/CD, observability

Requirements

Experience & seniority :

• 3+ years managing an engineering team or squad in a product-oriented environment
• Proven track record of owning technical decisions: architecture, scalability, code quality (not just managing the people making them)
• Background at the intersection of AI or ML and product engineering: you know what it takes to go from a model capability to a production user experience
• Proven ability to coordinate across multiple teams simultaneously (ML, product, engineering)
• Fluent in French and English

Technical expertise :

• Deep background in scalable web architectures and API design
• Solid experience with LLM integration patterns in production (RAG, streaming, tool use, context management)
• Comfortable with Docker, CI/CD pipelines, and DevOps practices in production

Leadership & collaboration :

• Ability to build trust, create accountability, and grow engineers into senior roles
• Excellent communication skills across technical and non-technical stakeholders
• You see AI as a design question as much as an integration challenge, and bring that thinking into product conversations
• You engage with the product, bring ideas to the table, and consider yourself a stakeholder in the solutions your squad ships

Our Tech Stack

Backend: Node.js / TypeScript / Symfony
Frontend:Vue.js 3
AI/ML layer: Python, internal models, LLM connectors
Database: PostgreSQL, MariaDB
DevOps:Docker, Kubernetes, Terraform

Join a fast-growing company in a friendly, international environment (offices in France, Italy, Spain, Canada, Germany, USA, Mexico, Dubai…);
Our "Remote Policy" guarantees that you can find the right balance between "Onsite" and "Remote";
Last but not least, all the day-to-day benefits of the CSE, luncheon vouchers, profit sharing bonuses, etc…

1. 1. Interview with TA team member(30/45 mins)
   2. Interview with the Head of Engineering(1h)
   3. Technical interview(1h30 mins)
   4. Interview with the CTO(45 mins)