Responsibilities
- Innovate and work closely with teams to discover creative solutions that drive company expansion.
- Work in a highly collaborative environment sharing ownership of company success.
- Participate in product and technical design discussions to define 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 optimize 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.
Requirements
- 4+ years of experience in software development
- 3+ years of experience in developing backend applications (Node.js and Typescript)
- 1+ year of experience with LLM engine deployment and maintenance (llama.cpp, vLLM)
- Knowledge of modern inference frameworks (vLLM, Ollama, TGI, etc.) and model evaluation
- Experience in working with infrastructure on AWS or other HyperScaler
- Experience working in a product development team with agile practices
- Know how to code, but also to deploy, test, and monitor cloud applications
- Interested by quality and security of applications
- Experience in accelerating team-wide AI adoption by coaching peers on prompt security, output validation, and designing production-ready human-in-the-loop systems
- Fluent in English (as the team is international)
Benefits
- Swile card
- Well-being days - 4 extra days (one per quarter) to acknowledge the importance of your wellbeing
- Mental health services through Spring Health for you and your family members
- Equal Parental leave - regardless of gender, up to 20 weeks fully paid leave to take care of their new baby, within the first year of birth or adoption
- Mentorship program - select your mentor from our internal pool and continue your learning path!
- Flexible working hours - depending on the role, determine a schedule that fits your need, in alignment with your manager
- Team building & seasonal social events
- Weekly company-sponsored lunch in the office (Tuesdays), monthly happy hour and much more
Work Arrangement
Hybrid — Paris
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
Diversity, Equity, Inclusion and Belonging at Dashlane
As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs.
Your interview experience
To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane. Feel free to browse our blog to find more information about our product and how we work.
Additional Information
- English as working language
- Hybrid policy (3 office days / week)
- Office days: Mondays, Tuesdays, and Thursdays
- Flexible remote work on Wednesdays and Fridays
