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    Home/Jobs/Salesforce AI / Agentforce Developer

    Salesforce AI / Agentforce Developer

    Zensar Technologies

    Hyderabad
    3-5 years
    16 days ago
    ₹13–25 LPA
    Full-time
    Onsite

    Skills Required

    RAG
    LLM
    Salesforce
    Apex
    LWC
    Visualforce
    SOQL
    SOSL
    Agentforce
    Einstein AI
    Prompt Builder
    Git
    VS Code
    SFDX
    Code Builder

    Description

    The Salesforce AI / Agentforce Developer will design, develop, and implement AI-driven solutions within the Salesforce ecosystem.

    Role: Salesforce AI / Agentforce Developer

    Location: Hyderabad, Telangana, India

    Qualification:

    • Salesforce Expertise: Apex, LWC, Visualforce, SOQL/SOSL
    • Agentforce & AI: Hands-on with Agentforce Activator, pre-built skills, Prompt Builder/Store, Agent Library
    • AI Safety & Governance: Experience with RAG, data masking/de-masking, toxicity detection, prompt guardrails, and secure AI operations
    • Developer Tooling: Git, VS Code, SFDX, Code Builder
    • Integration & Security: REST APIs, OAuth 2.0, Connected Apps
    • Delivery & Quality: Unit testing, test automation, performance tuning, troubleshooting, and documentation discipline
    • Agile Collaboration: Jira/Confluence for work management

    Role Focus: • Configure Agentforce features for • Design agentic workflows using Agentforce Activator and pre-built skills • Define future-state architecture that incorporates Einstein AI, Prompt Builder, Prompt Store, and Agent Library • Configure Sales, Service, Marketing, and Commerce Cloud features • Apply security-by-design for agent operations • Build Lightning Web Components (LWC), Apex classes/triggers, Visualforce pages, and Flows • Optimize code for governor limits, SOQL/SOSL performance, and scalable transaction patterns • Implement agentic workflows for automation and decision-making • Enable Einstein features (Agent Assist, Case Classification, Next Best Action, Predictive Routing) • Deliver Retrieval Augmented Generation (RAG) with governed knowledge sources • Instrument real-time analytics and operational dashboards • Design and implement REST API integrations with external systems • Ensure data quality, deduplication, and governance • Produce BRD/HLD/LLD, sequence/flow diagrams, and security models for Agentforce solutions • Document prompt catalogs, agent skills/playbooks, and operational runbooks • Conduct design reviews, threat modeling, and compliance checks • Manage source control and CI/CD using Git, SFDX, and Copado • Implement automated unit/integration/regression tests • Partner with Product Owners, Architects, BAs, QA to translate business goals into technical deliverables • Work in Agile/Scrum (Jira/Confluence)

    More skills:

    Flows, toxicity detection, REST API, OAuth 2.0, Connected Apps

    Other:

    • Mentor peers on Agentforce, Einstein, and secure AI development practices
    • Contribute to standards and KT

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

    LangChain Chat with Your Data

    Coursera

    Build RAG applications with LangChain — document loading, splitting, embeddings, and retrieval.

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