Salesforce & Agentforce Developer

Lancesoft; Bengaluru; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

Lancesoft in Bengaluru, India, seeks an experienced Salesforce developer to build low-code and pro-code AI agents, configure agent topics, and integrate enterprise data.

You will develop with Apex, LWC, Flows, Visualforce, and REST APIs, ensure security and governance, test, and optimize AI-driven conversations using Agentforce and Einstein AI capabilities.

Qualifications

• Must have 5 to 8 years of hands on experience in Salesforce Application development with Strong coding skills and Salesforce Agentforce development.
• Strong experience in Apex, Lightning Web Components (LWC), Flows, Visualforce, Triggers, and Salesforce security model.
• Must have experience in SOQL, SOSL, REST API and experience in creating & consuming web services.
• Must have experience in Salesforce problem solving, debugging expertise , Salesforce API Integration experience, and enhancements tailored to business requirements.
• Experience building custom actions, prompts, automation workflows, and AI-powered business processes within Salesforce.
• Strong experience Data Cloud, CRM data models, and AI-driven customer engagement solutions.

Responsibilities

• Must have 5 to 8 years of hands on experience in Salesforce Application development with Strong coding skills and Salesforce Agentforce development.
• Strong experience in Apex, Lightning Web Components (LWC), Flows, Visualforce, Triggers, and Salesforce security model.
• Must have experience in SOQL, SOSL, REST API and experience in creating & consuming web services.
• Must have experience in Salesforce problem solving, debugging expertise , Salesforce API Integration experience, and enhancements tailored to business requirements.
• Experience building custom actions, prompts, automation workflows, and AI-powered business processes within Salesforce.
• Strong experience Data Cloud, CRM data models, and AI-driven customer engagement solutions.

Job description

Roles & Responsbilites:

• Must have 5 to 8 years of hands on experience in Salesforce Application development with Strong coding skills and Salesforce Agentforce development.
• Strong experience in Apex, Lightning Web Components (LWC), Flows, Visualforce, Triggers, and Salesforce security model.
• Must have experience in SOQL, SOSL, REST API and experience in creating & consuming web services.
• Must have experience in Salesforce problem solving, debugging expertise , Salesforce API Integration experience, and enhancements tailored to business requirements.
• Experience building custom actions, prompts, automation workflows, and AI-powered business processes within Salesforce.
• Strong experience Data Cloud, CRM data models, and AI-driven customer engagement solutions.

Core Focus: Building low-code/pro-code AI agents, setting agent topics and actions, and integrating enterprise data.

• Agent Configuration: Set up AI agents, define behavioural topics, and map natural language instructions using Agent Builder.
• Action Development: Build custom actions via Salesforce Flows, Apex classes, APIs, and Prompt Builder.
• Data Integration: Connect Data Cloud and enterprise knowledge sources to power Retrieval-Augmented Generation (RAG).
• Testing & Guardrails: Implement safety guardrails (via the Einstein Trust Layer), perform unit testing, and optimize conversation flows
• Design, develop, test, and deploy AI-powered solutions using Salesforce Agentforce and Einstein AI capabilities.
• Configure and implement Agentforce agents, topics, actions, prompts, and conversation flows to automate business processes and enhance user experiences.
• Develop and maintain Apex classes, Lightning Web Components (LWC), Flows, and integrations to support Agentforce implementations.
• Collaborate with business stakeholders to translate requirements and user stories into scalable Agentforce and Salesforce solutions.
• Configure Prompt Builder, Agent Builder, Copilot Actions, Data Cloud integrations, and AI-driven workflows based on business needs.
• Integrate Agentforce with Salesforce Sales Cloud, Service Cloud, Experience Cloud, and third-party applications.
• Ensure security, governance, and compliance standards are followed while implementing AI-powered solutions.
• Monitor Agentforce performance, troubleshoot issues, and optimize AI responses and automation processes