Dashlane
Dashlane21h ago
New

AI Deployment Software Engineer

FranceFrance·Parismid
Software EngineerSoftware Engineering
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Quick Summary

Requirements Summary

4+ years of experience in software development 3+ years of experience in developing backend applications ( Node.

Technical Tools
Software EngineerSoftware Engineering

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

~1 min read
  • 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

  • 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.

Requirements

~1 min read
  • 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)

  • 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

  • More about our other benefits

 

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. See more about this here

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.

Location & Eligibility

Where is the job
Paris, France
On-site at the office
Who can apply
Open to applicants worldwide

Listing Details

Posted
July 10, 2026
First seen
July 10, 2026
Last seen
July 11, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
67%
Scored at
July 10, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
Dashlane
Dashlane
greenhouse
Employees
350
Founded
2009
View company profile
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DashlaneAI Deployment Software Engineer