Job Title: Technical Consultant – AI Integration Role Overview We are looking for an experienced Agentic AI Engineer with strong hands-on expertise in designing, developing, orchestrating, and deploying Agentic AI solutions. The ideal candidate should have practical experience building AI agents, integrating tools and enterprise systems, and delivering production-ready AI solutions for enterprise or client-facing projects.

Key Responsibilities
• Design, develop, and implement Agentic AI solutions with hands-on experience in AI agent development and orchestration.
• Build and manage multi-agent workflows, including tool calling, function calling, and agent-to-agent communication.
• Implement Model Context Protocol (MCP) for integrating AI agents with external tools, applications, and enterprise systems.
• Develop and integrate LLM-powered applications into enterprise workflows and business processes.
• Work on enterprise-grade AI solutions, ensuring scalability, reliability, security, and production readiness.
• Integrate AI agents with APIs, databases, cloud platforms, and other enterprise applications.
• Collaborate with business stakeholders and clients to understand requirements and translate them into practical AI solutions.
• Take ownership of the complete AI solution lifecycle, from development and testing to deployment and production support. Mandatory Technical Skills
• Strong hands-on experience in Agentic AI development.
• Practical experience in AI agent orchestration and multi-agent frameworks.
• Hands-on experience with tool calling,



function calling, and workflow automation.
• Working knowledge of Model Context Protocol (MCP) and its implementation.
• Experience integrating AI agents with enterprise applications, APIs, and business workflows.
• Strong programming experience in Python.
• Hands-on experience with LLMs, Generative AI, and LLM-based application development.
• Experience with Azure OpenAI or other enterprise LLM platforms is preferred. Required Experience & Evaluation Criteria
• Prior experience delivering enterprise-level or client-facing Agentic AI projects.
• Exposure to production-grade AI implementations, including deployment and integration.
• Ability to clearly explain individual technical contributions, project ownership, and implementation details.
• Candidates must demonstrate the duration of their hands-on experience in Agentic AI development.
• Strong understanding of real-world use cases, challenges, and implementation of Agentic AI solutions. Key Screening Guidelines Agentic AI experience is mandatory. Candidates must have demonstrable hands-on experience in developing and deploying AI agents. During screening, recruiters must validate:
• Actual hands-on experience in agent development and orchestration.
• Practical implementation of tool calling, MCP, and enterprise workflow integration.
• Project duration and individual technical contribution.
• Experience in enterprise/client-facing projects.
• Actual production deployment and implementation experience.

📌 Technical Consultant – AI Integration (India)
🏢 IBM
📍 India