Lead Salesforce Developer & Agentforce Specialist

Experience : 9-12 Years

Work Mode : Remote

Shift : 2 PM IST to 11 PM IST

Notice : Immediate.

Role Summary :

We are seeking a highly experienced Lead Salesforce Developer & Agentforce Specialist with deep expertise in Salesforce development, Agentforce, AI-driven automation, and Service Cloud solutions. This is a hands-on individual contributor role focused on designing, developing, and deploying enterprise-grade Salesforce solutions that leverage Agentforce, Einstein AI, Data Cloud, and modern AI technologies. The ideal candidate will spend most of their time developing scalable Salesforce applications using Apex, Lightning Web Components (LWC), Flows, Platform Events, and Agentforce capabilities. The role requires strong experience in Salesforce integrations, Service Cloud customization, AI-powered workflows, prompt engineering, and intelligent automation solutions. The candidate will collaborate closely with architects, product owners, DevOps teams, and business stakeholders while driving engineering excellence, platform innovation, and AI-enabled customer experience solutions.

Key Responsibilities :

Salesforce Development :

- Design, develop, and maintain scalable Salesforce applications using Apex, Lightning Web Components (LWC), Aura Components, Flows, and Platform Events.

- Build and maintain Apex Triggers, Batch Classes, Queueable Classes, Schedulable Jobs, and asynchronous processing solutions.

- Develop REST and SOAP integrations between Salesforce and external enterprise applications.

- Design secure, scalable, and reusable APIs following Salesforce integration best practices.

- Optimize SOQL, SOSL, and Salesforce data models for performance and scalability.

- Write comprehensive unit tests and maintain high code coverage with meaningful assertions.

- Conduct code reviews and enforce Salesforce development best practices.

- Troubleshoot production issues and perform root cause analysis for platform incidents.

Agentforce & AI Solutions :

- Design, configure, and deploy Agentforce agents including Service Agents, Member-Facing Agents, and Custom AI Agents.

- Configure Agentforce Topics, Actions, Instructions, and Guardrails.

- Develop custom Agentforce actions using Apex and Salesforce Flows.

- Build and optimize prompt templates using Prompt Builder.

- Integrate Agentforce with Einstein AI, Salesforce Data Cloud, OpenAI, Claude, and other LLM platforms.

- Implement AI-powered workflows and intelligent automation solutions.

- Design Retrieval-Augmented Generation (RAG) architectures using vector databases and document intelligence platforms.

- Evaluate agent performance, reduce hallucination risks, and continuously improve AI outcomes.

Service Cloud Engineering :

- Configure and extend Salesforce Service Cloud capabilities including Cases, Omni-Channel Routing, Entitlements, Milestones, Knowledge Management, Email-to-Case, and Service Console.

- Build and enhance Service Cloud Voice integrations with Amazon Connect and Five9.

- Develop custom CTI integrations, screen pop functionality, and post-call automation workflows.

- Design and implement scalable case management and customer support automation solutions.

DevOps & Collaboration :

- Collaborate with architects and product teams to translate business requirements into scalable Salesforce solutions.

- Partner with QA teams on testing strategies and quality assurance initiatives.

- Work with DevOps teams to implement CI/CD pipelines using SFDX, Git, GitHub Actions, and Copado.

- Document technical designs, architectural decisions, and implementation approaches.

- Mentor team members and share best practices around Salesforce and Agentforce development.

Required Qualifications :

- 8+ years of hands-on Salesforce development experience.

- Expert-level proficiency in Apex development including Triggers, Batch Apex, Queueable Apex, Schedulable Apex, Future Methods, Callouts, and Test Classes.

- Strong experience developing Lightning Web Components (LWC) and Aura Components.

- Deep understanding of Salesforce data modeling, SOQL, SOSL, sharing rules, security, and governor limits.

- Experience building REST and SOAP integrations using Salesforce APIs.

- Strong knowledge of OAuth, JWT, Named Credentials, and Salesforce integration security patterns.

- Hands-on experience implementing and supporting Agentforce solutions in production or production-bound environments.

- Experience building Agentforce Topics, Custom Actions, and Prompt Templates.

- Strong understanding of Salesforce Service Cloud capabilities.

- Experience with Cases, Omni-Channel Routing, Entitlements, Knowledge Management, and Email-to-Case.

- Strong debugging and troubleshooting skills using Debug Logs, Developer Console, Replay Debugger, and Platform Event Monitoring.

- Experience with SFDX, Git, and Salesforce CI/CD pipelines.

- Strong communication, collaboration, and stakeholder management skills.

Nice to Have :

- Salesforce Certified Platform Developer I (Highly Preferred).

- Salesforce Certified Platform Developer II.

- Salesforce Certified Agentforce Specialist.

- Salesforce Certified AI Associate or AI Specialist.

- Salesforce Certified Service Cloud Consultant.

- Salesforce Certified Data Cloud Consultant.

- Experience integrating OpenAI, Claude, or other LLMs into Salesforce using Apex callouts or Einstein Trust Layer.

- Knowledge of vector databases such as Pinecone or Weaviate.

- Experience implementing RAG-based AI solutions.

- Experience with Amazon Textract or document intelligence platforms.

- Familiarity with Amazon Connect or Five9 integrated with Service Cloud Voice.

- Exposure to Salesforce CPQ.

- Experience building and optimizing complex Salesforce Flows, subflows, and fault handling mechanisms.

- Experience with enterprise-scale AI transformation and customer service automation initiatives.