Salesforce Agentic AI Engineer

Blue Cloud Softech Solutions Limited; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Blue Cloud Softech Solutions Limited is seeking an Engineer to build and operate Salesforce Agentforce/ Data 360 powered agents for an enterprise agentic AI assistant. You will implement retrieval-grounded agents, enable API/tool calls, and ensure accurate, cited, and safe responses.

You will collaborate with architects, data and integration engineers to connect Salesforce agents with non-Salesforce systems and demonstrate outcomes to customers.

Qualifications

• Hands-on delivery of Agentforce projects (production or advanced pilot).
• Hands-on Data 360 with unstructured data, search indexes and retrievers to ground agent answers.
• Solid Salesforce development: Apex, Flow, permission sets, sandboxes, deployment.
• Working knowledge of retrieval-augmented generation (RAG): chunking, embeddings, hybrid search, citations.

Responsibilities

• Build and improve Agentforce agents, including topics, instructions and actions.
• Set up Data 360 so the agent can search documents and answer with citations.
• Connect the agent to other systems via APIs and tools.
• Test answer quality and collaborate with the team to deliver and demo the solution.

Skills

Agentforce delivery

Data 360 experience

Salesforce development

RAG knowledge

APIs integration

Stakeholder communication

Python basics

Tools

Apex

LWC

SOQL

APIs

Python

Job description

Agent force and Data 360 Engineer (Salesforce Agentic AI Engineer)

Project

Enterprise Agentic AI Assistant

Experience

2 to 3 years overall, with hands-on Agentforce work

Profile

Salesforce Agent force and Data 360 specialist with broader agentic AI engineering skills

About the project

The project is an enterprise agentic chat assistant built with Salesforce Agentforce. It uses retrieval-augmented generation (RAG) to answer user questions from a large library of enterprise documents, cites its sources, and declines when the documents do not support an answer.

The agent also calls tools and APIs to fetch context and complete tasks, and works alongside other agents. We want an engineer who can deliver this on Salesforce and is open to working with the wider agentic AI stack.

The role

You will be the hands-on Salesforce AI engineer on a small team of architects and data, integration and platform engineers. You will design and build grounded, retrieval-based agents on Agentforce and Data 360, connect them to non-Salesforce systems, and show the customer that the answers are accurate, cited and safe.

What you will do

• Build and improve Agentforce agents, including their topics, instructions and actions.
• Set up Data 360 so the agent can search documents and answer with citations.
• Connect the agent to other systems through APIs and tools.
• Test answer quality and work with the wider team to deliver and demo the solution.

Must-have skills

• Hands-on Agentforce delivery (production or an advanced pilot), including agent design, actions and Agent Script or prompt templates.
• Hands-on Data 360 (formerly Data Cloud) experience, ideally with unstructured data, search indexes and retrievers used to ground agent answers.
• Solid Salesforce development: Apex, Flow, permission sets, sandboxes and deployment.
• Working knowledge of RAG: chunking, embeddings, hybrid search, metadata filtering, citations and reducing hallucinations.
• Clear communication with customer architects and business stakeholders.

Good to have

These strengthen a profile but are not all required. A strong agentic AI engineer who can show real Agentforce and Data 360 work is a good fit even without every item.

• Salesforce Development: Apex, LWC, SOQL, Flows, and APIs
• Salesforce Forward Deployed Engineer (certified): the ideal profile for this role.
• Salesforce certifications or Trailhead Academy training in Agentforce and Data 360 (for example Agentforce Specialist or Data 360 Consultant), backed by a Trailhead profile or completion record.
• Exposure to building agentic AI with tool-calling, multi-agent patterns, Python or LLM evaluation
• Experience building knowledge assistants or customer support agents