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Tier-1 brand, metro location, mid-level role but niche MCP/enterprise AI specialization limits applicant pool.
Role requires deep enterprise Salesforce/Zoura integration and agentic AI expertise, reducing cross-industry transferability.
Explicit 5+ years requirement plus mandatory ML, Python, Salesforce, and API expertise enforces strict filters.
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Design and implement Model Context Protocol (MCP) servers enabling AI agents to interact deeply with Salesforce services (Quote, Opportunity, Renewal) and other enterprise platforms.
Develop and optimize AI workflows including Retrieval-Augmented Generation (RAG) and orchestrate multi-agent autonomous communication across business systems.
Lead integration engineering via REST APIs for scalable, secure connections and provide technical leadership in AI automation, mentoring junior engineers.
Minimum 5 years professional software engineering experience.
Expert proficiency in Python and JavaScript/TypeScript or Java for enterprise services.
Experience with Salesforce Sales Cloud APIs and understanding of its Object model (Apex knowledge is a plus).
Proven experience building AI agents using MCP and developing RAG architectures; deep expertise with REST API design and OAuth authentication flows.
Strong technical leader capable of architecting complex AI automation systems bridging enterprise SaaS platforms.
Experienced in advanced AI orchestration beyond simple chatbot implementations, focusing on autonomous agent communication.
Ability to rapidly learn and synthesize unfamiliar enterprise data models (e.g., Zuora, ServiceNow) with minimal guidance.