Lead Engineer - Agentforce Developer

Job Summary Role: Lead Engineer - Agentforce Developer Location: India, Remote Experience: 4-7 Years Role overview We are looking for a highly skilled Salesforce Agentforce Developer to design, develop and implement AI-powered autonomous agents using Salesforce Agentforce. The ideal candidate should have strong Salesforce development experience combined with hands-on expertise in Agentforce, Prompt Builder, Data Cloud, Flows, Apex and AI-driven business automation. You will work closely with Solution Architects, Business Analysts and client stakeholders to deliver scalable AI solutions that enhance customer engagement, automate business processes and improve operational efficiency. Key responsibilities Design and develop AI-powered autonomous agents using Salesforce Agentforce. Configure Agent Topics, Agent Actions, Instructions and Prompt Templates. Develop custom Agent Actions using Apex, Flows, Invocable Apex and External Services. Build intelligent workflows leveraging Salesforce Flow and Agentforce orchestration. Integrate Agentforce with Salesforce Clouds, Data Cloud and external applications. Develop Apex classes, Lightning Web Components (LWC), REST APIs and Platform Events to support Agentforce use cases. Configure Prompt Builder and AI templates to deliver contextual, grounded responses. Work with Salesforce Data Cloud for customer data unification and grounding. Integrate Agentforce with third-party systems using REST APIs, Named Credentials, OAuth and External Services. Collaborate with Solution Architects to design scalable and secure AI solutions. Troubleshoot production issues and optimize Agentforce performance. Follow Salesforce development best practices, DevOps processes and release management. Participate in client workshops, requirement gathering, sprint planning and solution demonstrations. Required skills and competencies Salesforce platform Apex Programming Lightning Web Components (LWC) SOQL and SOSL Salesforce Flow Process Automation Platform Events Custom Metadata Named Credentials OAuth Authentication REST and SOAP APIs Agentforce Salesforce Agentforce Agent Topics Agent Actions Prompt Builder Prompt Templates AI Grounding Prompt Engineering Agent Instructions Human Handoff Guardrails AI Testing and Validation AI and data Salesforce Data Cloud Einstein AI Retrieval-Augmented Generation (RAG) concepts AI Governance Knowledge Articles Vector Search (preferred) Integration REST APIs External Services MuleSoft (preferred) Postman JSON/XML DevOps Git GitHub Copado / AutoRABIT Jenkins Azure DevOps (preferred) CI/CD Pipelines Must have skills Experience building AI-powered customer service or sales automation solutions. Strong experience with Salesforce Flows and Apex development. Experience integrating Salesforce with external enterprise systems. Experience working in Agile/Scrum environments. Hands-on experience with Prompt Builder and AI solution development. Experience with Data Cloud is highly preferred. Preferred salesforce clouds Sales Cloud Service Cloud Experience Cloud Financial Services Cloud (preferred) Data Cloud Good to have skills Experience with Agentic AI frameworks. Exposure to Large Language Models (LLMs) such as OpenAI, Anthropic Claude, or Gemini. Experience with Retrieval-Augmented Generation (RAG). Knowledge of AI governance, prompt optimization and AI security. Exposure to vector databases and semantic search. Experience with MuleSoft integrations. Understanding of AI evaluation and observability. Certifications (Preferred) Salesforce Certified AI Specialist Salesforce Agentforce Specialist Salesforce Platform Developer I Salesforce Platform Developer II Salesforce Administrator Salesforce Data Cloud Consultant (Preferred) 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.