Role & responsibilities

GenAI Developer

Mandatory Skills:
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 settings.

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.

📌 Genai Developer Bengaluru (India)
🏢 Alike Thoughts
📍 India