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Edenred

Digital payments platform for employee benefits

AI Full Stack Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeIssy-les-Moulineaux, FranceNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of full-stack development experience, with a record of shipping production applications.
  • Proficiency in modern JavaScript or TypeScript and frameworks such as React, Next.js, or Vue.js.
  • Backend development skills in Python, Node.js, or similar languages.
  • Experience with RESTful APIs, GraphQL, and microservices architecture.
  • Database expertise in SQL and NoSQL databases such as PostgreSQL, MongoDB, or Redis.
  • Experience with cloud platforms such as AWS, Azure, or GCP, and containerization technologies such as Docker or Kubernetes.
  • Mastery of Git and CI/CD pipelines.
  • Fluent spoken and written English.

Responsibilities

  • Design and develop responsive user interfaces for AI assistants, agents, and agentic applications.
  • Build scalable APIs and backend services to support AI workflows, retrieval-augmented generation systems, and agent orchestration.
  • Manage databases and data pipelines to ensure performance, security, and reliability.
  • Integrate AI platform capabilities, including large language models, tools, and workflows, into full-stack applications.
  • Collaborate with AI Product Managers, AI Engineers, and business stakeholders to translate requirements into technical solutions.
  • Participate in Agentic AI Factory rituals, sprint planning, and delivery.
  • Ensure seamless integration between front-end experiences and back-end AI services.
  • Deliver production-ready features aligned with business objectives and user needs.
  • Write clean, maintainable, well-documented code following best practices.
  • Implement unit, integration, and end-to-end testing strategies and ensure code quality.
  • Stay current with emerging technologies in full-stack development and AI application patterns.
  • Contribute to technical architecture decisions and platform evolution.

Desired Qualifications

  • Spanish or Portuguese language skills.
  • Experience integrating AI and machine-learning APIs such as OpenAI, Anthropic, or Azure OpenAI.
  • Familiarity with retrieval-augmented generation architectures, vector databases such as Pinecone, Weaviate, or ChromaDB, and AI orchestration frameworks.
  • Understanding of prompt engineering, large language model observability, and AI application patterns.
  • Experience with enterprise platforms, governance frameworks, and security best practices.
  • Knowledge of MLOps, LLMOps, and AI model deployment pipelines.
  • Familiarity with Databricks, data engineering tools, and analytics platforms.
  • Experience with design systems, accessibility standards such as WCAG, and user experience principles.
  • Previous work in consulting, product companies, or fast-paced startup environments.
  • Ability to rapidly prototype and iterate using AI-assisted development tools.

About the Company

Edenred

Digital payments platform for employee benefits

Edenred provides a digital services and payments platform for the working world, connecting 60+ million users, 2+ million merchants, and nearly 1 million corporate clients across 45 countries. Its offerings cover employee benefits (like Ticket Restaurant), mobility services, employee engagement tools, and corporate payment instruments, all delivered through a digital platform and apps that often integrate with mobile wallets and partner services. It differentiates itself by its global scale, broad range of benefits and payments solutions, and a track record of France-specific innovations (virtual Ticket Restaurant, braille restaurant cards, Edenred Télétravail, and Edenred+). Its goal is to simplify daily life for employees, improve well-being, attract talent, and boost company performance by making benefits and payments seamless.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Issy-les-Moulineaux, France
Founded
1983

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