Agentforce Developer

Job Title: Agentforce Developer Company: Innova ESI Job Category: Salesforce Roles & Responsibilities: Role Title: AgentForce Developer Role Overview: The AgentForce Engineer will be responsible for designing, developing, and scaling intelligent agent capabilities powered by structured and unstructured data, advanced language models, and enterprise\-grade data platforms. The role requires strong expertise in Salesforce Agentforce, LLMs, prompt engineering, and Salesforce Data Cloud , along with the ability to build secure, compliant, and high\-performing AI\-driven solutions integrated across enterprise ecosystems. Key Responsibilities \& Skills: * Work with structured and unstructured data across enterprise systems and Salesforce Data Cloud . * Design and manage data pipelines including ingestion, transformation, and harmonization. * Integrate knowledge articles, knowledge graphs, vector databases, and unified customer profiles. * Enable secure data access with robust data governance, masking, and PII protection mechanisms. * Leverage Data Cloud for real\-time data activation to power intelligent agent responses. Agent \& Prompt Development: * Design and optimize execution flows, prompts, and agent actions using Apex and APIs. * Utilize Agent Builder and Prompt Builder to create scalable, reusable agent solutions. * Collaborate on modeling strategies leveraging Salesforce LLMs, foundation models, and domain\-specific models. * Integrate Data Cloud insights into agent workflows for contextual and personalized interactions. * Deploy and manage LLMs on cloud platforms such as Databricks and OpenAI. * Ensure adherence to enterprise compliance standards and regulatory requirements. * Implement monitoring mechanisms for toxicity, bias detection, and auditability. * Maintain secure data handling practices across Agentforce and Data Cloud environments . * Enforce authentication, authorization, and MFA standards across systems. * Partner with Lead Engineers, Solution Architects, and Integration Architects. * Influence non\-functional requirements (NFRs) including scalability, performance, and security. * Contribute to technical solution design documents (TSDs) and roadmap planning. * Support QE teams by enabling automation\-first testing strategies. Enablement \& Lifecycle Management: * Follow the Agentforce lifecycle: Ideate → Setup → Configure → Test → Deploy → Monitor. * Contribute to internal knowledge sharing, documentation, and onboarding initiatives. * Continuously improve implementation practices and contribute to the Agentforce playbook. Work Location: Bengaluru, Karnataka, India Availability: Full time

Experience:\-7\- 14 Years Core Skills \& Experience: * Proven expertise in Salesforce LLMs, prompt engineering, and agent orchestration. * Hands\-on experience with Apex, APIs, and scalable integration patterns. * Strong understanding of Data Cloud architecture, data modeling, and real\-time data activation . * Knowledge of secure data practices, compliance frameworks, and ethical AI principles. * Ability to influence cross\-functional decisions and contribute to architecture strategy. * Experience with test automation frameworks (e.g., RAGAS, DeepEval) and QE collaboration. Key Skills: Salesforce, Apex Salary: Not disclosed