Qeagle Assurance
Senior Full Stack Engineer (AI Automation)
Skills
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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