Agentforce and Data 360 Engineer

SAAP Technologies; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

SAAP Technologies in Bengaluru is seeking a hands-on Salesforce AI engineer to design and build grounded, retrieval-based agents on Agentforce and Data 360, connecting them to non-Salesforce systems and showing customers that answers are accurate, cited, and safe.

You will collaborate with architects and data, integration and platform engineers to deliver production-ready solutions, focusing on agent design, data search, and API integrations with strong attention to quality and security.

Qualifications

• Hands-on Agentforce delivery (production or advanced pilot) including agent design and prompts.
• Hands-on Data 360 experience with unstructured data, search indexes and retrievers.
• Solid Salesforce development: Apex, Flow, permission sets, sandboxes and deployment.
• Working knowledge of RAG: chunking, embeddings, hybrid search, metadata filtering, 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 through 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

Clear stakeholder communication

Tools

Agentforce

Data 360

Apex

LWC

SOQL

Job description

Company Description SAAP Technologies delivers secure, scalable, and innovative solutions in AI, Salesforce, product development, and IT staffing. The company operates across the U.S., UK, and India, providing technology services to a diverse range of clients and industries. Team members collaborate on modern, end-to-end solutions that help organizations improve performance and accelerate digital transformation. SAAP Technologies offers opportunities to work with cutting-edge technologies and global teams, supporting continuous learning and professional growth.

Project - Enterprise Agentic AI Assistant

Experience 2 to 8 years overall, with hands-on Agentforce work

Profile -Salesforce Agentforce 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