Description

You will lead the design and development of enterprise-grade Generative AI solutions, leveraging large language models (LLMs), agent frameworks, and modern AI platforms.

Responsibilities

• Design end-to-end solution architectures for Generative AI applications and define enterprise-level AI strategy and governance frameworks.
• Develop and deploy intelligent AI agents using the LangChain framework, including custom agents, MCPs (Model Context Protocols), and tool integrations.
• Implement AI workloads using vector databases for semantic search and RAG (Retrieval-Augmented Generation) on cloud platforms.
• Establish Responsible AI guidelines, ensuring compliance with ethical standards, security policies, and regulatory requirements.
• Build production-ready AI pipelines and orchestration frameworks in Python, optimizing for performance, scalability, and security.

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, RAG architectures, and AI orchestration frameworks.

Key Skills

Education

Any Graduate