Description

You will design and deploy enterprise-grade Generative AI solutions, including LLM integrations, agent frameworks, and RAG architectures.

This role is on-site.

Responsibilities

• Design end-to-end solution architectures for Generative AI applications and define enterprise-level AI strategy.
• Develop and deploy intelligent AI agents using the LangChain framework, including custom agents, MCPs, and tool integrations.
• Implement AI workloads using vector databases for semantic search and RAG on cloud platforms.
• Build production-ready AI pipelines and orchestration frameworks in Python.
• Establish Responsible AI guidelines to ensure compliance with ethical standards and security policies.

Required Skills

• 8–10 years of experience in AI, machine learning, or advanced analytics solutions.
• Strong expertise in Generative AI technologies and Large Language Models (LLMs).
• Hands-on experience with the LangChain framework for building and deploying AI agents.
• Proficiency in Python programming and modern AI libraries.
• Experience creating Model Context Protocols (MCPs) or custom tools for AI agents.
• Strong experience working with vector databases and semantic search architectures.
• Experience deploying scalable AI solutions on cloud platforms.

Preferred Skills

• Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Experience designing enterprise AI platforms and AI orchestration frameworks.

Key Skills

Education

Any Graduate