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.

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