Job Summary

We are looking for a Senior Software Engineer with 4+ years of software engineering experience to architect, build, and deploy custom Agentic AI applications integrated with our Salesforce ecosystem. In this role, you will bridge modern generative AI technologies (LLM orchestrations, autonomous agent loops, tool calling, and RAG) with enterprise CRM infrastructure. You will design autonomous and semi-autonomous AI agents that execute complex, multi-step business workflows, interact directly with Salesforce data and APIs, and safely escalate to human teams when necessary.

Key Responsibilities

- Agentic Application Architecture: Design, build, and maintain agentic solutions using tools like LangGraph, ADK, LangChain, AutoGen, CrewAI etc.
- Salesforce Integration Tool Calling: 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.
- Context Grounding RAG Pipelines: Build Retrieval-Augmented Generation (RAG) pipelines connecting vector stores (e.g., Pinecone, Weaviate, pgvector) to supply real-time context to LLMs while mitigating hallucinations.
- Workflow Automation Agent Governance: 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.
- Observability Reliability: Set up agent monitoring, evaluation metrics, and tracing to track execution paths, latency, context usage, and token costs.
- Cross-Functional Leadership: 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.

Qualifications

Required Technical Skills

- Software Engineering Foundation:



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

The Team

You will be part of a growing, passionate, and dynamic team with an opportunity to work on challenging and exciting projects centered on what we believe is one of the most significant mission statements in the world. We also strive to be the most people-centric company ever!. That means were constantly working to make your experience amazing, and you are part of the team breaking boundaries of what the workplace can be!.

Our Commitment

We re trailblazers that dream big, take risks, and challenge cybersecurity s status quo. It s simple: we can t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior IT Software Engineer (Bengaluru)
🏢 Palo Alto Networks
📍 Bengaluru