About the role
About Dashlane Dashlane’s mission is to deliver the credential security every business and employee needs to thrive. Millions of consumers, and over 25,000 brands worldwide, such as Michelin, Air France, and Forrester, trust Dashlane for industry-leading innovations, patented zero-knowledge security, and an unmatched user experience. Founded in Paris, Dashlane has since established offices in New York and Lisbon, and has grown to more than 300 Dashlaners globally. We're looking for people who actively use AI tools to drive efficiency, creativity, and impact in their work. At Dashlane, we drive innovation and value learning, strive for excellence in everything we do, and thrive as one team. Learn more about life at Dashlane , including
how we work , how we hire , and the
benefits of being a Dashlaner .
About
the role: Are you passionate about building production-ready AI systems? Join our Setup & Rollout team,
the team behind Dashlane's AI Advisor, where you'll help build confidential AI experiences that millions of users can trust. As a AI Deployment Engineer, you will own the implementation and the maintenance of our new Omnix AI Advisor backend, an AI agent helping our customer admin improving their security posture. You'll own the entire inference stack, from serving infrastructure and system prompt orchestration to model evaluation and performance optimization, ensuring our AI capabilities are secure, reliable, scalable, and cost-efficient. Rather than training foundation models, you'll focus on making them production-ready and seamlessly integrating them into Dashlane's products. You will work in a highly collaborative environment alongside Senior and Staff engineers who provide continuous mentorship, while partnering closely with product managers, project managers, and quality engineering teams. The Setup & Rollout team is currently focused on optimizing administrative workflows and scaling system integrations to ensure smooth deployments. Location: You will be based in Paris, with a hybrid policy (3 office days / week) and English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work. Our stack: Programming languages: NodeJS, Typescript Inference engine: llama.cpp Infrastructure and storage layer: AWS EC2, AWS Nitro (confidential computing), Amazon ECS , MySQL on RDS Aurora, Redis, S3 CI/CD: Gitlab, Terraform Logging and monitoring: ELK (Elasticsearch, Logstash, Kibana) and Datadog AI : Claude Code In your role, you will: Innovate! As an engineering member, you'll work closely with the teams to discover creative solutions that drive the company's expansion. Work in a highly collaborative environment where everyone shares ownership of the company's success. Participate in product and technical design discussions to define the best solutions. Design and integrate AI solutions, including prompt engineering, inference orchestration, model evaluation and selection, RAG integration, fine-tuning, and end-to-end integration of open-source LLMs into production systems Maintain and optimise an inference engine or propose and benchmark improvements or alternative solutions Operate, and optimize self-hosted LLM infrastructure, ensuring reliable, production-ready inference with high performance, scalability, and efficient resource utilization. Increase the number of tools available for our agent and maintain them Develop strategic third-party partner integrations and AI-assisted tools within our administrative console Modernize legacy server-side systems that handle identity management, user provisioning, and corporate onboarding workflows. Participate in and propose cross-team initiatives aimed at improving engineering efficiency and team culture. Lean on AI coding platforms like Claude Code to streamline this lifecycle, driving development velocity while maintaining high code quality.
