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Tier-1 brand, mid-level experience requirement, and Bangalore metro increase applicant competition.
Deep ML agent, MCP and Salesforce integration expertise limits cross-industry transferability.
Multiple mandatory technical skills and explicit 5+ years requirement increase filtering strictly.
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Design and implement high-performance MCP servers to enable AI agents to interact with Salesforce services (Quote, Opportunity, Renewal) and other enterprise platforms.
Develop and optimize Retrieval-Augmented Generation (RAG) workflows and coordinate Agent-to-Agent communication for autonomous multi-agent collaboration.
Build and maintain secure, scalable REST API integrations across platforms like Salesforce, Zuora, and ServiceNow while providing technical leadership in AI automation.
Minimum 5 years professional software engineering experience.
Expertise in Python and JavaScript/TypeScript or Java for enterprise services.
Proficient with Salesforce Sales Cloud APIs and object models (Apex knowledge is a plus).
Proven experience with MCP (Model Context Protocol) implementation, RAG architectures, and RESTful API design including authentication/OAuth handling.
Experienced in architecting AI automation at the intersection of enterprise SaaS platforms and advanced AI agent orchestration.
Strong autonomy in learning new enterprise data models and rapid decomposition of complex systems (e.g., Zuora, ServiceNow).
Technical leadership inclination with ability to guide automation strategy and mentor engineers in evolving AI-driven workflows.