Salesforce Platform & AI

Responsibilities :-

● Design and develop new functionality for product using Apex, Lightning Web Components (LWC), JavaScript, SOQL, Salesforce APIs, metadata, and platform services.

● Build reusable, scalable product capabilities intended to serve many enterprise customers rather than customer-specific implementations.

● Contribute to product architecture and long-term technical design decisions.

● Work within an established commercial product codebase and help evolve it across releases.

● Consider upgradeability, backward compatibility, packaging, maintainability, performance, security, and customer-org variability as part of normal product development.

● Work on complex product areas including project scheduling, resource and capacity planning, workflow orchestration, project financials, and enterprise user experiences.

● Use AI-assisted development tools for solution design, coding, testing, debugging, refactoring, and documentation.

● Review and validate AI-generated implementations and identify when an approach is technically incorrect, insecure, non-scalable, or inappropriate for the Salesforce platform.

● Help design and build AI agents and intelligent capabilities directly into the Leankor product.

● Develop AI capabilities that can understand project context, analyze data, identify risks and opportunities, recommend actions, and automate appropriate work.

● Help define guardrails, permissions, validation, and human approval processes for AI-driven actions.

● Troubleshoot complex issues across the UI, application logic, data model, integrations, AI services, and Salesforce platform.

● Collaborate with Product, Architecture, UX, QA, and other engineering team members.

Qualifications

● 8+ years of professional software development experience preferred.

● 3–5+ years of hands-on Salesforce development experience strongly preferred.

● Strong experience with Apex and Lightning Web Components.

● Experience developing complex enterprise applications or commercial software products

● Prior experience working in a software product company strongly preferred

● Experience owning functionality across multiple releases rather than delivering isolated project implementations.

● Strong knowledge of software architecture, design patterns, debugging, testing, security, performance, and maintainability.

● Experience with Salesforce data modeling, APIs, security and sharing, asynchronous processing, and platform limits

● Experience with Git, source control, automated testing, and modern CI/CD practices

● Practical experience using AI-assisted software development tools.

AI Experience

Experience with several of the following is highly desirable:

● Large Language Models (LLMs) ● AI agents and agentic workflows

● Tool/function calling ● Prompt and context engineering ● Structured model outputs

● Retrieval-Augmented Generation (RAG) ● AI evaluation and guardrails

● Human-in-the-loop workflows

● Salesforce Agentforce or related Salesforce AI technologies Prior Agentforce experience is beneficial but not required.

Preferred Experience

● Salesforce ISV or AppExchange product development

● Managed-package development

● Experience building and maintaining a commercial Salesforce-native product

● Complex reusable Salesforce-native applications

● High-volume Salesforce architectures

● Enterprise project, work management, scheduling, or resource-management software

● Salesforce Service Cloud, Field Service, Experience Cloud, or Sales Cloud. Experience building a commercial Salesforce product is highly desirable. Candidates from consulting or services backgrounds will be considered where they can clearly demonstrate significant ownership of reusable product development, product architecture, and long-term

software evolution.

Skills

Salesforce Apex, Salesforce Lightning, User Interface (UI) Development, Javascript, SOQL, API, Metadata modeling, Platform as a Service (PaaS)