At Pluxee, we shape the world of employee benefits and engagement by bringing to life a personalized and sustainable employee experience, at work and beyond.
Permanent RegularJob Description:
Pluxee is a global leader in employee benefits and engagement, operating in 26 countries. As part of its digital transformation, Pluxee has built an internal AI platform giving employees access to LLMs with strong data sovereignty, compliance, and business integration guarantees.
As generative AI matures and cross-functional needs grow — AI agents, RAG, tool integrations, AI-assisted development practices (AIDLC) — Pluxee is creating the GenAI Engineer role to own this ambition in-house.
This is a hands-on technical role combining ownership of a production AI platform with a GenAI advisory function for IT teams across the group.
2. Key Responsibilities
A. Internal AI Platform Ownership
Own the technical roadmap: platform evolution, updates, and new integrations (MCP connectors, business tools…).
Ensure reliability, security, and performance of the production platform (Kubernetes / Azure, CI/CD, monitoring).
Design and deploy business AI agents: system prompts, tools, knowledge bases, per-team or per-BU access control.
Manage the LLM integration layer: model routing, guardrails, token quotas, cost management.
Drive the architecture toward a multi-tenant platform: agents and knowledge bases scoped per Business Unit.
Operate existing and new MCP (Model Context Protocol) servers: Atlassian (Jira / Confluence), web search, and upcoming connectors (SharePoint, etc.).
B. GenAI Support for IT Practices — AIDLC
Define and roll out AIDLC (AI-assisted Development Lifecycle) standards: integrating AI into code review, generation, testing, and documentation workflows.
Support development teams in adopting GenAI tools (code assistants, agents, RAG on codebases).
Identify priority AI use cases across IT departments and co-build solutions with the teams.
Act as the GenAI technical reference: architecture, model selection, security, GDPR and EU AI Act compliance.
Lead technology watch on the GenAI ecosystem and bring forward concrete, actionable proposals.
Experience
5+ years in backend / full-stack development, including at least 2 years on GenAI / LLM systems in a production context.
Proven experience deploying and operating AI platforms on cloud infrastructure (Azure preferred; AWS or GCP accepted).
Background in international or multi-BU enterprise environments is a plus.
Technical Skills
GenAI ecosystem: LLM & Agents —
RAG (vector indexing, pgvector, Elasticsearch), prompt engineering, multi-agent chains
Model Context Protocol (MCP) — design and operation of MCP servers
LLM proxies (LiteLLM or equivalent), Azure OpenAI / AI Foundry, guardrails and quota management
Infrastructure: Cloud & DevOps —
Kubernetes (AKS), Helm, Docker, CI/CD (Azure DevOps or GitHub Actions)
Secrets management (Azure Key Vault or equivalent), monitoring (Datadog or equivalent)
Stack: Development —
Python (Flask, orchestration scripts), Node.js / TypeScript
MongoDB, PostgreSQL, Redis, MeiliSearch
Protocols: Security & Auth —
OpenID Connect, OAuth 2.0 (3LO), Azure AD / Okta, JWT
GDPR compliance, EU AI Act, data residency (EU hosting)
Soft Skills
Ability to translate complex technical topics for non-technical stakeholders.
Results-oriented: knows how to move from POC to production with rigor.
Proactive on technology watch: tracks the fast-moving LLM/agent ecosystem.
Collaborative mindset in an international, distributed-team context.
Languages
Professional English (documentation, international meetings) — French is a plus.
4. Technical Environment
The GenAI Engineer operates within the following environment (at time of joining):
AI Platform : Internal AI chat platform based on LibreChat, deployed on Azure AKS (EU)
LLM :Azure AI Foundry (GPT-5, GPT-4.1) via LiteLLM Proxy
MCP Connectors :Atlassian (Jira/Confluence), web search — upcoming: SharePoint, Rovo
Databases :MongoDB, PostgreSQL + pgvector, Redis, MeiliSearch
CI/CD & Quality :Azure DevOps Pipelines, SonarQube, Snyk, pre-commit
Auth :Okta SSO (OpenID Connect), Azure AD, JWT
Automation : n8n — agentic workflow orchestration
☀️ Happy at work
1) A meaningful job: Be the change! Help us build the future of employee benefits by bringing to life sustainable and personalized experiences and contribute to make a real impact on millions of lives. Our business model delivers not just for individuals but their communities too, by supporting local businesses and economies.
2) A great culture: People matter – a lot! Be part of a multicultural team that moves as one in a fast paced and innovative environment. We respect and care authentically about our people, we embrace wellbeing and work-life balance, new ideas and we have a lot of fun!
3) An empowering environment: Be yourself! At Pluxee we proudly embrace diversity and value the uniqueness of our talents, fostering an inclusive workplace where all abilities are celebrated, and equal learning and growing opportunities are a given
Why join Pluxee?
Join an inclusive team
Work at the heart of the community alongside 5,000 experts across 29 countries - we embrace diversity and value uniqueness, fostering a workplace where everyone can thrive.
Turn inspiration into possibility
Get space to try new ideas, experiment and move the world of work forward as you bring new digital experiences - and moments of connection - to millions of people.
Make a positive impact
Touch millions of lives and create meaningful change for people and the world we share, supporting our commitments to diversity, sustainability, and local economies.
Grow with us
Get support you need to take meaningful steps in your career, whether you're performing your work/life balance or learning new skills.
Skills Required
- 5+ years of backend or full-stack development experience
- At least 2 years of production GenAI or LLM systems experience
- Experience deploying and operating AI platforms on cloud infrastructure
- Professional English proficiency
- Experience with Azure, AWS, or GCP cloud platforms
- Experience with RAG, vector indexing, prompt engineering, or multi-agent chains
- Experience designing and operating Model Context Protocol servers
- Experience with Kubernetes, Helm, Docker, and CI/CD
- Experience with Python and Node.js or TypeScript
- Experience with authentication, authorization, and security protocols including OpenID Connect, OAuth 2.0, Azure AD, Okta, or JWT
- French language proficiency
- Experience in international or multi-business-unit enterprise environments
What We Do
The leading global employee benefits and engagement partner that opens up a world of opportunities to help people enjoy more of what really matters We believe that living life to the full means making the most of every moment and sharing experiences with the people we care about. To make these experiences meaningful, fulfilling, and personalised, we combine our 45+ years of experience with the agility and energy of a new digital brand. The result is an exciting mix of 250+ products that give employees more freedom in the choices they make every day across 31 countries – from restaurant meals to culture, incentives, and gift vouchers. Are you looking to shape the future of employee benefits and engagement? Get in touch directly with our teams at: [email protected]
