AI Build QE Engineer (GenAI / Agentic AI / AI Automation)

BGV checklist required – Address Verification, Credit History Check, Criminal Check, Current Employment, Database Check, Education, Entitlement to Work, Identity Check, Previous Employment, Professional Membership, Self-Employment Directorship.

Experience: 5–10 Years

Role Overview

We are looking for an experienced AI Build QE Engineer to design, develop, and deploy enterprise-grade AI solutions, including GenAI copilots, AI agents, intelligent automation frameworks, and AI-enabled testing solutions. The role requires strong software engineering skills combined with hands-on experience in LLMs, Agentic AI, MCP, Playwright, cloud platforms, and AI application integration.

Key Responsibilities

• Build and deploy GenAI applications, AI agents, copilots, and RAG-based solutions.


• Design Agentic AI workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen.


• Develop and integrate Model Context Protocol (MCP) servers, tools, and connectors.


• Create AI-powered test automation solutions using Playwright, Python, and AI-driven testing frameworks.


• Integrate AI services with enterprise applications via APIs and microservices.


• Implement CI/CD, monitoring, observability, and governance for AI solutions.


• Work with Azure OpenAI, AWS Bedrock, Vertex AI, and vector databases.


• Ensure secure, scalable, and responsible AI implementations.

Required Skills

• Strong programming experience in Python (mandatory), JavaScript/TypeScript, or C#.


• Hands-on experience with LLMs, RAG, Prompt Engineering, Vector Databases, and Agentic AI.


• Experience with Model Context Protocol (MCP) development and integrations.


• Strong experience with Playwright automation framework.


• Knowledge of LangChain and LangGraph.


• Experience with Azure OpenAI, AWS Bedrock, Azure AI Services, or Vertex AI.


• Familiarity with Docker, Kubernetes, GitHub Actions, Azure DevOps, and MLOps practices.

Preferred Qualifications

• Experience building AI copilots, autonomous agents, or AI-infused testing solutions.


• Exposure to Insurance, BFSI, or other enterprise domains.


• AI/Cloud certifications (Azure AI Engineer, AWS ML, etc.) preferred.