GenAI Developer

Alike Thoughts; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Alike Thoughts in Bengaluru, India, seeks a GenAI Developer to design, develop, and deploy enterprise AI solutions on cloud platforms. You will build scalable AI/LLM applications, implement RAG architectures, and integrate AI with enterprise databases, APIs, and cloud-native environments.

The role requires collaborating with DevOps, Security, Data, and Platform teams to optimize performance and reliability of AI solutions in a cloud-native setup.

Qualifications

• Experience with cloud platforms AWS/Azure/GCP.
• Experience developing and deploying AI-powered applications.
• Strong knowledge of Python, APIs and AI/ML frameworks.
• Understanding of cloud-native application development.
• Exposure to Docker, Kubernetes and CI/CD.

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.

Skills

AWS/Azure/GCP

Generative AI/LLM

RAG

AI-powered apps

Python/APIs/AI frameworks

Cloud-native development

Tools

Docker

Kubernetes

CI/CD

Job description

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 modern 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.