Senior IT Software Engineer

Overview

Design, build and deploy custom Agentic AI applications integrated with the Salesforce ecosystem, bridging generative AI (LLM orchestration, agent loops, tool calling, RAG) with enterprise CRM infrastructure.

What you'll do

• Design, build and maintain agentic solutions using tools like LangGraph, ADK, LangChain, AutoGen, CrewAI etc.
• Implement robust REST/SOAP integrations, Webhooks, Platform Events and Apex Invocable Methods allowing AI agents to query SOQL, update CRM records and trigger Salesforce Flows autonomously.
• Build Retrieval-Augmented Generation (RAG) pipelines connecting vector stores (e.g., Pinecone, Weaviate, pgvector) to supply real-time context to LLMs while mitigating hallucinations.
• Define function calling schemas, tool definitions, dynamic planning loops and fallbacks.
• Implement safety guardrails, prompt evaluation suites, rate limiting and seamless human-in-the-loop (HITL) handoffs.
• Set up agent monitoring, evaluation metrics and tracing to track execution paths, latency, context usage and token costs.
• Partner with Salesforce Architects, Product Managers and security teams to translate complex CRM requirements into reliable AI features adhering to enterprise compliance and data governance standards.

What you'll need

• 3+ years of professional backend software engineering experience building scalable microservices, REST APIs and asynchronous message queues.
• 2+ years of hands-on experience developing production AI agents, autonomous decision loops, multi-agent coordination and function-calling/tool-use paradigms.
• Proven experience interacting with Salesforce APIs (REST/Composite/Bulk), SOQL/SOSL queries, Connected Apps, OAuth flows and Apex (Invocable Actions, Triggers).
• Advanced proficiency in Python or TypeScript/Node.js for AI backend systems.
• Direct experience with semantic search, embeddings generation and vector engines (e.g., Pinecone, Qdrant, ChromaDB, PGVector).
• Proficiency in cloud infrastructure (AWS/GCP/Azure), containerization (Docker, Kubernetes), serverless computing and CI/CD pipelines.
• Solid understanding of B2B Sales processes, Partner Relationship Management (PRM) and the end-to-end Opportunity-to-Quote (Q2C) lifecycle.

Details

• Location: Office, Bangalore (Bagmane Tech Park), India.
• Most teams work from the office full time, with flexibility when needed.
• Not eligible for immigration sponsorship; no work visa sponsorship for this position.