About the Role :

We are looking for a Software Cloud Developer with strong expertise in Cloud Application Development, AI/ML, LLMs, Agentic AI architecture, MCP Servers, and Cloud Security. The ideal candidate should have hands-on experience designing, developing, deploying, and optimizing AI-powered cloud applications.

Key Responsibilities :

- Design and develop cloud applications leveraging Agentic AI architecture and MCP (Model Context Protocol) servers.

- Develop, deploy, and optimize Large Language Models (LLMs) using modern AI/ML frameworks.

- Design and implement Machine Learning and Deep Learning models with end-to-end deployment using MLflow, TensorFlow/TensorFlow Lite, etc.

- Develop Generative AI solutions, including LLM-based few-shot learning and synthetic data generation using GANs.

- Build scalable AI/ML and cloud-native applications, APIs, and microservices.

- Implement static/dynamic model analysis, model optimization, monitoring, and production deployment.

- Ensure strong Cloud Security, Application Security, AI/ML Security, and secure deployment practices.

- Collaborate with architects and engineering teams to drive innovative AI-powered cloud solutions.

Tech Stack :

- AI/ML : AI/ML, Machine Learning, Deep Learning, Generative AI, LLM, LLM Development, NLP, GANs, Few-Shot Learning, Synthetic Data

- Agentic AI : Agentic AI, AI Agents, Agent Architecture, MCP, MCP Servers, Model Context Protocol, AI Orchestration

- Cloud : Cloud Application Development, Cloud-Native, Microservices, REST APIs, AWS/Azure/GCP, Cloud Architecture

- ML Engineering : MLflow, TensorFlow, TensorFlow Lite, Model Deployment, MLOps, Model Optimization, Model Monitoring

- Security : Cloud Security, AI/ML Security, Application Security, Secure AI, DevSecOps

- Programming : Python, Java, Golang/Go, JavaScript/TypeScript