Description

You will build and deploy Generative AI solutions using LLMs, Agentic architectures, and RAG pipelines.

This role is hybrid.

Responsibilities

• Develop and implement solutions leveraging LLMs and Agentic AI architectures.
• Design and optimize Retrieval Augmented Generation (RAG) pipelines using knowledge graphs.
• Engineer complex prompts and integrate AI components via APIs.
• Build and maintain MLOps and CI/CD workflows for AI models.

Required Skills

• 4-5 years of professional experience in data science or AI engineering.
• Expert proficiency in Python.
• Hands-on experience with Azure OpenAI and Cognitive Services.
• Deep understanding of LangChain frameworks.
• Experience with Hugging Face for model utilization.
• Practical knowledge of Vector DBs and Embedding generation.
• Familiarity with Semantic Search concepts.
• Exposure to MLOps and CI/CD practices.
• Experience with cloud platforms like Azure and AWS.

Preferred Skills

• Familiarity with knowledge graph integration in RAG systems.

Key Skills

Education

Any Graduate