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Mid-level AI role in metro locations with common LLM and cloud skills creates moderate competition.
Role requires specialized LLM, MCP and integration expertise, moderately limiting cross-industry transferability.
Explicit 4-6 years plus specific LLM, MCP, cloud and integration skills make shortlisting strict.
Design, develop, and deploy AI-powered solutions including AI Agents, chatbots, and RAG-based knowledge systems using platforms like ChatGPT, Claude, Gemini, and Microsoft Copilot.
Implement end-to-end workflow automation and integrate AI solutions with enterprise applications, managing APIs, webhooks, and MCP server configurations.
Architect scalable AI and automation solutions, prepare technical documentation, evaluate new AI technologies, and support proof-of-concept projects.
4 to 6 years of relevant experience in AI automation and integration.
Proficiency in AI & LLM platforms such as ChatGPT/OpenAI, Claude, Gemini, and Microsoft Copilot.
Technical skills including Python, JavaScript, SQL, REST APIs, and experience with cloud platforms like Microsoft Azure; AWS and Google Cloud preferred.
Experience with MCP server setup, tool integration, and secure AI-to-system connectivity.
Experienced in building and integrating AI Agents and automation workflows across enterprise systems such as CRM and ERP.
Strong background in AI model integration with enterprise scale systems using protocols like MCP and workflow automation.
Capable of designing scalable architectures and documenting technical solutions for business process automation within a cloud-enabled environment.