AI Cloud Engineer

votre profil

Mission

• The main mission of the AI Cloud Engineer is to enhance the organization's capabilities by developing scalable and efficient AI solutions that meet business needs and technological advancements. Key objectives include driving innovation, ensuring system interoperability, and improving user experience.

Main activities

• Develop responsive interfaces for the AI Agents Marketplace.
• Orchestrate modular agents using LangChain and the LangGraph enterprise suite.
• Implement custom tools, nodes, and workflows to enrich the platform.
• Manage contextual caching (Redis), vector databases (PGVector), and data persistence (Postgres).
• Master quota management.
• Oversee various RAG strategies and components.
• Create and consume business APIs to ensure integration with MCP (Model Context Protocol) and agent orchestration (A2A type).

• Required Skills:
• Proficiency in LangChain, LangGraph (self-hosted), MCP, frontend technologies such as React, TypeScript, Tailwind, and backend development with Python (FastAPI) and Node.js. Knowledge in vector databases (PGVector), caching mechanisms (Redis), and persistence solutions (Postgres) is essential. Familiarity with GitLab CI, Docker, RESTful APIs/OpenAPI, as well as evaluation tools like Phonix and LangSmith is required.
• Preferred Skills:
• Preferred skills include experience with full stack AI development, API management, and a strong understanding of microservices and serverless architectures. Proficiency in cloud development practices, modularity, and interoperability, alongside UX/UI sensibilities and product logic, will be considered advantageous.