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Senior Full Stack Engineer (AI Automation)

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Onsite

Senior Full Stack Engineer (AI Automation)

Qeagle Assurance

Senior Full Stack Engineer (AI Automation)

Skills

Google Cloud PlatformSQL QueriesDockerNodePythonJava.NETGitAIAWSGitHubNo-code AutomationsCRMSalesforceSAP ERPServiceNowAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

29 September 2026

What they need


Job Title: AI Automation & Integration Engineer

Experience: 5 to 8 Years

Location: Chennai (Work From Office)

Job Description:

We are looking for an AI Automation & Integration Engineer to design, develop, integrate, and deploy internal enterprise applications and automation solutions using modern AI-assisted engineering practices.

Key Responsibilities

  • Build internal applications, utilities, and workflow automation solutions
  • Develop backend services and APIs using Python, Node.js, Java, or .NET
  • Integrate enterprise applications through REST APIs, Webhooks, OAuth2, API Keys, and Service Accounts
  • Build data transformation and integration pipelines
  • Containerize applications using Docker
  • Deploy and maintain solutions in Azure, AWS, or GCP environments
  • Implement CI/CD, logging, monitoring, and error handling
  • Troubleshoot integration, authentication, and deployment issues
  • Utilize AI coding tools such as Claude Code, OpenAI Codex, GitHub Copilot, and similar platforms

Mandatory Skills

  • Python / Node.js / Java / .NET
  • REST APIs & System Integration
  • JSON, Webhooks, API Authentication
  • OAuth2, OIDC, JWT
  • Git & Version Control
  • Docker & Containerization
  • Azure / AWS / GCP
  • CI/CD
  • SQL & Data Integration
  • Strong debugging and problem-solving skills

Preferred Skills

  • OpenAI APIs, Claude Code, GitHub Copilot
  • LLM APIs, Prompt Engineering
  • Agentic Workflows
  • LangChain, LangGraph, Semantic Kernel
  • RAG & Vector Databases
  • Experience integrating ERP, CRM, ServiceNow, Microsoft 365, SAP, Salesforce, or SSO platforms

Ideal Candidate

A hands-on Backend/Full-Stack Engineer with AI engineering exposure who can independently drive solutions from requirement gathering to deployment.

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