Description

Job Responsibilities include:

Design and develop AI/ML and generative AI solutions using frameworks like LangChain, LlamaIndex, and Agentic AI tools.

Build and optimize RAG pipelines, vector databases, and semantic search capabilities for intelligent data retrieval.

Develop and deploy scalable APIs and microservices using Python (FastAPI/Flask) for production AI systems.

Work with large datasets to preprocess, engineer features, and support model training and evaluation.

Implement MLOps/LLMOps practices for model deployment, monitoring, and continuous performance optimization.

Collaborate with cross-functional teams to integrate AI solutions into end-to-end applications and ensure scalability and reliability.

Required Qualifications:

Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field.

2+ years of experience in AI/ML engineering with focus on generative AI and LLM-based applications.

Strong expertise in Python, LangChain (or similar frameworks), and building RAG pipelines with vector databases and semantic search.

Hands-on experience in developing APIs (FastAPI/Flask), deploying AI models to production, and implementing scalable MLOps/LLMOps pipelines

Key Skills

Education

Any Graduate