We are looking for an experienced Integration Engineer to design, build, and own the integration layer for an enterprise-grade, agentic AI document platform. The ideal candidate has a strong Java backend and microservices background, deep experience building and consuming REST APIs, and hands-on expertise integrating Microsoft SharePoint and ServiceNow with modern applications. Experience connecting these integrations to AI/LLM-powered services and agentic AI frameworks is highly valued, as the role sits at the intersection of enterprise systems integration and the platform's AI agent layer.
Key Responsibilities
Enterprise System Integration
- Build and maintain REST APIs and microservices (Java-based) that connect the agentic AI platform to SharePoint, ServiceNow, and other Microsoft ecosystem tools (Word, Excel, PowerPoint, PDF, MS Visio).
- Design integration specifications, data contracts, and message/event schemas between the AI agent layer and downstream/upstream enterprise systems.
- Support on-prem packaging and third-party add-in compatibility testing as part of deployment readiness.
AI/LLM & Agent Integration
- Integrate backend microservices with AI/LLM-powered services (Azure OpenAI, Azure AI Foundry).
- Implement agent-to-tool and agent-to-system integration patterns, including function/tool calling and standardized protocols such as Model Context Protocol (MCP), in coordination with the AI Engineering team.
- Build the plumbing that allows AI agents to trigger, monitor, and act on workflows in SharePoint and ServiceNow (e.g., document routing, approval triggers, status callbacks).
- Collaborate with AI Engineers on exposing document parsing, validation, and rules-engine outputs through well-defined APIs consumable by agent orchestration logic (e.g., LangChain / LangGraph).
Required Skills & Experience
- 5–8 years of overall software engineering experience, with strong hands-on expertise in Java backend development.
- Proven experience designing and building microservices architectures and enterprise-grade REST APIs.
- Hands-on experience integrating applications with Microsoft SharePoint (bidirectional sync, document/metadata management, permissions) using SharePoint REST/Graph APIs or equivalent.
- Hands-on experience building ServiceNow integrations — REST/SOAP APIs, webhooks, ticket/job synchronization, and workflow automation.
- Working knowledge of AI/LLM-powered services (e.g., Azure OpenAI, Azure AI Foundry) and experience exposing or consuming AI capabilities through APIs.
- Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, Semantic Kernel) and standardized tool/agent integration protocols such as Model Context Protocol (MCP).
- Solid understanding of RBAC, SSO/authentication (OAuth2/SAML), and audit logging for enterprise integration layers.
- Experience with API gateways, message queues/event-driven integration patterns, and asynchronous processing
- Comfortable working with Git, CI/CD pipelines, containerization (Docker/Kubernetes), and Agile/Scrum delivery practices.
- Strong problem-solving and troubleshooting skills, with the ability to debug complex integration issues across distributed systems.
Preferred / Good to Have
- Experience integrating with vector databases (e.g., Azure AI Search, Qdrant, Pinecone) as part of RAG-enabled application integrations.
- Exposure to Python for scripting or lightweight service development alongside a primary Java stack.
- Relevant certifications such as Microsoft Certified: Azure Developer Associate / Azure Solutions Architect, or ServiceNow Certified Application Developer.
Education
- Bachelor's or master’s degree in computer science, Engineering, Artificial Intelligence, or a related field (or equivalent practical experience).
Pay: ₹1,500,000.00 - ₹2,500,000.00 per year
Benefits:
- Health insurance
- Life insurance
- Provident Fund
Application Question(s):
- What is your Current CTC?
- What is your Expected CTC?
- How many days of your notice period?
Experience:
- AI Engineer : 5 years (Preferred)
- Java Backend Development: 8 years (Preferred)
Work Location: In person
