DiliTrust
Overview
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
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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
#J-18808-Ljbffr