GEN AI

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

Location: Offshore
Experience: 5-10 Years

Role Overview

We are looking for an experiencedAI Build 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.

Required Skills

• Strong programming experience inPython (mandatory), JavaScript/TypeScript, or C#.
• Hands-on experience withLLMs, RAG, Prompt Engineering, Vector Databases, and Agentic AI.
• Experience withMCP (Model Context Protocol) development and integrations.
• Strong experience withPlaywright automation framework.
• Knowledge of LangChain, 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.

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 integrateModel Context Protocol (MCP) servers, tools, and connectors.
• Create AI-powered test automation solutions usingPlaywright, 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.