Technical Consultant, AI Integration
IBM
This job at a glance
- Who can apply
- Freshers
- Must know
- REST APIsStakeholder managementPython
- Nice to have
- LLMsAzure
- Work
- On-site in Bangalore Urban
- Pay
- Not stated by the employer.
- Skill demand
- REST APIs24%Stakeholder management19%Python8%LLMs3%of 99 similar fresher jobs posted in India this week
- Listed
- 11 Nov 2026 · still open
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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.
Requirements & Tech Stack
- 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.
Qualifications
- 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.
Screening requires validation of actual hands-on experience in agent development and orchestration, practical implementation of tool calling, MCP, and enterprise workflow integration, project duration, individual technical contribution, experience in enterprise/client-facing projects, and actual production deployment and implementation experience.