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Salesforce Developer – Agentforce / AI
Skills
19 days ago
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Important information
Contract type:
Permanent, Temporary
Location:
Uttar Pradesh, India
Work mode:
Onsite
Published on:
5 October 2026
What they need
Salesforce Developer – Agentforce / AI
Job Title: Senior Salesforce Developer – Agentforce / AI
Experience: 6–8 Years
Location: Hybrid – Pan India
Working Hours: 11:00 AM – 9:00 PM IST
Notice Period: Immediate / Short Notice Preferred
Job Overview
We are looking for a Senior Salesforce Developer with 6–8 years of hands-on experience in Salesforce development, customization, integrations, and application design.
The ideal candidate should have strong expertise in Apex, Lightning Web Components (LWC), Visualforce, SOQL/SOSL, Salesforce APIs, automation, and Salesforce security, along with hands-on exposure to Agentforce, Salesforce AI, Generative AI, LLM concepts, and AI-assisted development.
The candidate will work closely with product, architecture, and business teams to design, develop, and deliver scalable, secure, and high-quality Salesforce solutions.
Key Responsibilities
- Design, develop, and maintain Apex Classes, Triggers, Batch Apex, Queueable Apex, and asynchronous processes.
- Develop scalable and reusable Lightning Web Components (LWC) and Visualforce pages.
- Write and optimize complex SOQL/SOSL queries while working within Salesforce Governor Limits.
- Develop integrations between Salesforce and external systems using REST/SOAP APIs, Platform Events, and middleware.
- Implement business process automation using Salesforce Flow and Apex.
- Configure and customize Custom Objects, Fields, Validation Rules, Record Types, Page Layouts, and other Salesforce components.
- Design effective Salesforce data models and optimize application performance and scalability.
- Develop comprehensive unit tests and maintain high-quality, reusable code.
- Manage Salesforce deployments using Metadata API, packages, and CI/CD tools such as Gearset, Copado, or GitHub Actions.
- Follow Git/GitHub branching, pull request, and code review practices.
- Provide technical guidance on Salesforce architecture, scalability, integrations, and multi-org environments.
- Implement Salesforce security using Profiles, Roles, Permission Sets, Sharing Rules, and Object/Field-Level Security.
- Work with Salesforce products including Sales Cloud, Service Cloud, and Experience Cloud.
- Use GitHub Copilot and other AI-assisted development tools to improve development productivity.
- Contribute to Agentforce and Salesforce AI initiatives, including AI-driven workflows and intelligent automation.
- Apply understanding of LLMs, prompt engineering, model behavior, and AI-assisted workflows to Salesforce solutions.
- Participate in Agile/Scrum ceremonies, production support, troubleshooting, and release activities.
Mandatory Skills
Candidates must have strong hands-on experience with:
- Apex Programming
- Lightning Web Components (LWC)
- Visualforce
- SOQL / SOSL
- Salesforce Products – Sales Cloud, Service Cloud, Experience Cloud
- Agentforce / Salesforce AI / LLM Concepts
Technical Skills
Salesforce Development
- Apex Classes & Triggers
- Batch Apex & Queueable Apex
- Lightning Web Components
- Visualforce
- SOQL / SOSL
- Salesforce Flows & Automation
- Data Modeling & Object Design
Integration
- Salesforce REST & SOAP APIs
- Platform Events
- Middleware integrations
- External system integrations
Architecture & Security
- Salesforce Governor Limits
- Performance Optimization
- Salesforce Security & Sharing Model
- Profiles, Roles & Permission Sets
- Sharing Rules
- Object-Level & Field-Level Security
- Salesforce Multi-Tenant Architecture
DevOps & Deployment
- Git / GitHub
- CI/CD
- Salesforce Metadata API
- Gearset
- Copado
- GitHub Actions
- Branching, Pull Requests & Code Reviews
AI / Agentforce
- Agentforce
- Salesforce AI
- Generative AI
- LLM Concepts
- Prompt Engineering
- AI-assisted Development
- GitHub Copilot
- AI-driven workflows and intelligent automation
Preferred Candidate Profile
- 6–8 years of overall Salesforce development experience.
- Strong hands-on expertise in Apex and LWC.
- Strong understanding of Salesforce architecture, security, integrations, and Governor Limits.
- Experience working with CI/CD and Git-based development practices.
- Exposure to Agentforce, Salesforce AI, Generative AI, or LLM-based solutions.
- Experience using AI coding assistants such as GitHub Copilot.
- Strong analytical, problem-solving, and troubleshooting skills.
- Excellent communication and collaboration skills.
- Comfortable working in an Agile/Scrum environment.
Pay: ₹80,000.00 - ₹140,000.00 per month
Experience:
- Salesforce development: 6 years (Required)
Work Location: Hybrid remote in Noida, Uttar Pradesh
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