Blue chip client is looking for an experienced Middleware Developer to work on a key project involving an AI prompt interface designed for internal use. You will be responsible for building the Middleware that seamlessly connects the AI services with the Front End, ensuring smooth communication between user inputs and Back End AI systems. This is a critical role in creating a scalable and secure system that handles authentication, session management, and custom business logic.

Responsibilities
API Integration: Integrate core AI services (eg, Google AI or other APIs) with the AI prompt interface, ensuring efficient communication between the Front End and Back End systems.
Middleware Development: Build and maintain the Middleware that processes user requests, manages business logic, and ensures proper flow between the interface and the AI engines.
Session Management: Develop solutions for logging and managing user sessions, chat histories, and feedback storage, utilizing GCP services such as BigQuery or GCS Buckets.
Authentication & Authorization: Handle user authentication via Azure AD, ensuring secure access and smooth interaction with the AI APIs using Microsoft Graph API for user details.
Custom Business Logic: Implement custom Middleware features such as prompt filtering, permissions management, and AI response handling tailored to the consulting company's needs.

Qualifications
Middleware & Backend Development: Proven experience in designing Middleware that bridges Front End interfaces with Back End systems, particularly in cloud-based environments.
API Integration: Expertise in integrating third-party APIs (Google AI, Microsoft Graph) into Back End systems.
Cloud Platforms: Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, BigQuery, and GCS Buckets for session management and data storage.
Authentication: Strong knowledge of Azure AD and Microsoft Graph API for user authentication and authorization.
Custom API Development: Ability to develop custom APIs where needed to meet business logic requirements.

Nice-to-haves:
Experience working on AI-driven interfaces or products.
Familiarity with session logging, chat history management, and feedback collection in cloud environments.
Strong problem-solving and collaboration skills to work with cross-functional teams.

Please send CV for full details and immediate interviews. We are a preferred supplier to the client,