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 fore front 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.
Your tasks :
We are looking for a Machine Learning Engineer to join our growing ML team and strengthen our Conversational AI Squad — a group dedicated to creating Agentic AI use-cases that unlock the full potential of the DiliTrust suite through advanced, intelligent conversational interfaces.
In this role, you will work at the intersection of applied research and production-grade engineering - designing, developing, and deploying scalable ML systems that power real-world features.
You will collaborate closely with data scientists, backend engineers, and product managers to bring generative AI capabilities into our core products.
You’ll contribute across two main areas:
1 - Advance Our Internal AI Capabilities:
- Conduct applied research to push our internal state-of-the-art in generative and semantic AI.
- Design and maintain fine-tuning pipelines for LLMs, leveraging RLHF, GRPO, and domain-specific optimization techniques.
- Develop robust, reusable components and pipelines for experimentation, training, evaluation, and deployment.
2 - Design & Implement Agentic AI Use-Cases
- Collaborate with product and engineering teams to conceive, prototype, and deploy AI agents that deliver tangible value across product modules (e.g., contract analysis, board meeting preparation, cross-module reporting)
- Implement scalable model serving and deployment strategies for production environments.
- Benchmark, monitor, and iteratively improve agent performance through systematic evaluation
What we are looking for:
- Proven experience with LLM fine-tuning and prompt engineering for production use cases.
- Strong background in NLP, RLHF, or model optimization techniques.
- Skilled in building and maintaining ML pipelines in Python with modern frameworks (e.g., vLLM, Autogen, LangChain, ADK).
- Familiarity with CI/CD, MLOps best practices, and testing strategies for ML systems.
Our technical stack:
- LLM Frameworks & Agent Tooling: vLLM, LangChain, Autogen, ADK
- Model Development & Fine-Tuning: PyTorch, Hugging Face Transformers, RLHF, GRPO, domain-specific optimization pipelines
- Experimentation & Tracking: MLflow, Tensorboard, Grafana
- MLOps & Deployment: Model serving with vLLM, torchserve and FastAPI, CI/CD for ML containerized workflows with Docker, orchestration via Kubernetes / CloudRun
- Infrastructure & Cloud: GCP, OVH
Our values:
At DiliTrust, our values guide everything we do. Trust is our foundation, ensuring transparency and integrity in every action.
We promote inclusion, fostering a culture of empathy, diversity and belonging, where everyone's voice is valued.
We foster a hands on spirit, encouraging initiative, resilience and action-oriented thinking to meet challenges.
We strive for excellence, constantly pushing boundaries to drive innovation, and demonstrating generosity in all our endeavors.
Above all, we succeed as a team, united by a common goal: collaboration.
What we offer:
• Join a fast-growing company in a friendly, international environment (offices in France, Italy, Spain, Canada, Germany, USA as well as Dubai and Mexico);
• 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, profitsharing bonuses, weekly sport session organized by TrainMe, etc…
More info :
Location: Paris
Seniority: 2/3+ years of experience
Type of contract: Full time, hybrid or remote
