Description

You will build full-stack solutions integrating AI models across web applications, APIs, and cloud services.

Responsibilities

• Develop full-stack solutions integrating AI models into applications and cloud services.
• Design and deploy scalable microservices on GCP (Cloud Run, GKE) and Azure (AKS, App Service).
• Develop backend services using Python (Flask, FastAPI), Node.js (Express), or Java (Spring Boot).
• Implement CI/CD pipelines using Cloud Build, GitHub Actions, or Azure DevOps for automated model deployment.
• Ensure AI solutions meet data privacy, governance, and security requirements across GCP and Azure.

Required Skills

• 3-6 years of experience as a Full Stack, Cloud, or AI Software Engineer.
• Proficiency in Python (Flask, FastAPI), Node.js (Express), or Java (Spring Boot).
• Experience with GCP services including Cloud Run, GKE, BigQuery, and Firestore.
• Experience with Azure services including AKS, Azure Machine Learning, and Cosmos DB.
• Strong command of RESTful API and GraphQL development.
• Familiarity with OAuth, IAM, and JWT for security implementation.
• Ability to design and deploy applications across hybrid GCP and Azure environments.
• Experience with ML integration using platforms like Vertex AI or Azure ML.

Key Skills

Education

Any Graduate