Job Details

• Integrate with AI models using FAST API/Flask API, including Generative AI models, to solve complex problems.
• Experience using frameworks like LangChain, LlamaIndex, and agent orchestration tools such as LangGraph, AutoGen, and CrewAI.
• Deploy and manage applications in cloud environments (AWS, Azure, or GCP), ensuring scalability, resilience, and cost efficiency.
• Experience in integrate with full-stack AI-driven applications and modern front-end frameworks like React, Angular, Vue, or Next.js.
• Implement monitoring and observability solutions for real-time tracking, logging, and debugging of AI models and APIs.
• Design and implement disconnected architectures (Kafka, RabbitMQ etc.) that can operate with limited or intermittent connectivity.
• Integrate web crawling and data ingestion pipelines to automate data collection from various sources.
• Collaborate with cross-functional teams, including data scientists, front-end developers, and DevOps engineers, to deploy AI models into production.
• Participate in code reviews, provide constructive feedback, and contribute to best practices in AI development.
• Stay updated with the latest advancements in AI, cloud technologies, web development, and agent-based architectures.

Mandatory Skills : GENAI, Python, Cloud

Good to Have Skills : Deep Learning

Mandatory Skills : GENAI, Python, Cloud

Good to Have Skills : Deep Learning