- Experience with any Cloud Platform AWS / Azure / GCP
- Generative AI, AI/ML, LLM
- RAG (Retrieval-Augmented Generation)
- Experience developing and deploying AI-powered applications
- Knowledge of Python, APIs and AI/ML frameworks
- Understanding of cloud-native application development
- Exposure to Docker, Kubernetes and CI/CD is preferred
Role Overview We are looking for skilled GenAI Developers to design, develop, and deploy enterprise-grade AI solutions on cloud platforms. The role involves building scalable AI/LLM applications, implementing RAG architectures, and integrating AI capabilities with up-to-date cloud-native environments.
Key Responsibilities
- Design and develop AI/LLM-powered applications on AWS, Azure, or GCP.
- Build and implement RAG pipelines and AI-driven solutions.
- Design scalable and secure cloud-native application architectures.
- Deploy and manage applications using Docker and Kubernetes.
- Integrate AI solutions with enterprise applications, databases, and APIs.
- Collaborate with DevOps, Security, Data, and Platform teams.
- Optimize AI application performance, scalability, and reliability.