Application Engineer (AI Automation)

Overview

Build AI automation systems that connect enterprise platforms such as Salesforce, Zuora, and ServiceNow with agentic AI. The role focuses on MCP servers, RAG workflows, multi-agent orchestration, and scalable integrations.

What you'll do

• Design MCP servers exposing Salesforce Quote, Opportunity, and Renewal services to AI agents.
• Analyze enterprise application data models and create schemas for AI interaction.
• Develop and optimize RAG workflows and AI agents.
• Orchestrate multi-agent collaboration and Agent-to-Agent communication.
• Build secure REST API integrations across cloud environments.
• Guide AI automation strategy and mentor junior engineers.

What you'll need

• 5+ years of professional software engineering experience.
• Expertise in Python and JavaScript/TypeScript or Java.
• Knowledge of Salesforce Sales Cloud and its API/Object model.
• Experience building AI agents with MCP and implementing RAG architectures.
• Deep expertise designing and consuming REST APIs.
• Experience handling complex authentication and OAuth flows.

Nice to have

• Familiarity with Pinecone, Weaviate, or Milvus.
• SalesOps automation experience, especially Quote-to-Cash processes.
• Contributions to open-source MCP servers or AI frameworks.
• Salesforce Apex knowledge.

Details

• Location: Bangalore, India.
• Work mode: On-site.