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AI Build Engineer

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Onsite

AI Build Engineer

Experis

AI Build Engineer

Skills

DockerTypescriptPythonC#MicroservicesPlaywrightMachine LearningAIAWSGitHubKubernetesJavascriptAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

23 September 2026

What they need


Position: AI Build Engineer
Location: Bengaluru / Chennai / Hyderabad
Experience: 5+ Years
Notice Period: Immediate

Role Overview

We are looking for an experienced AI 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.

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 through 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 MCP (Model Context Protocol) 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 such as Azure AI Engineer or AWS ML certifications preferred.

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