AI Engineer

Responsibilities

• Design, develop, and deploy AI‐powered applications using Zensar's enterprise AI stack.
• Build and execute proof‐of‐concepts (POCs) with Large Language Models (LLMs) and modern AI orchestration tools.
• Create intelligent agents and multi‐agent systems using LangGraph and agent builder platforms.
• Implement Model Context Protocol (MCP) integrations, MCP Tools, and agent‐to‐agent (A2A) communication patterns.
• Leverage vector stores, embeddings, and Retrieval‐Augmented Generation (RAG) architectures.
• Manage source code through CI/CD pipelines and ensure observability of AI applications.
• Contribute to and maintain the internal agent registry and integration standards.
• Perform prompt engineering and fine‐tuning for GPT, Gemini, and other LLMs.
• Collaborate with cross‐functional teams to align AI solutions with business objectives.
• Document designs, workflows, and best practices for AI development.