Sr Software Engineer - Salesforce Agentforce

Impact of the Role

• Independently develop and deliver Salesforce features and integrations.
• Contribute to Agentforce and AI-powered customer service initiatives.
• Build secure, scalable, and maintainable enterprise solutions.
• Take technical ownership of assigned components and features.
• Collaborate across engineering, QA, product, and architecture teams.
• Continuously improve engineering quality through automation and AI-assisted development.

Technology Platforms You Will Work On

• Salesforce, Salesforce Service Cloud, and Salesforce Agentforce
• Apex, Lightning Web Components (LWC), SOQL, and Salesforce Flows
• Salesforce Data Cloud, Salesforce Einstein AI, and Prompt Builder
• Salesforce Case Management and workflow automation
• REST APIs, JSON, OAuth 2.0, and enterprise integration mechanisms
• Asynchronous Apex, triggers, batch processing, and platform events
• Conversational AI, chatbots, generative AI, and AI agents
• Large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG)
• Voice platforms, contact center applications, and conversational AI solutions
• Order Management Systems (OMS), customer service applications, and backend microservices
• Java, Spring Boot, and microservices
• Event-driven architectures, messaging platforms, and asynchronous integrations
• Salesforce development tools, Git, CI/CD pipelines, debugging, and unit testing
• AI-assisted development tools such as GitHub Copilot, Claude, and Codex

Key Responsibilities

Salesforce Application Development

• Design, develop, and maintain Salesforce applications using Apex, Lightning Web Components (LWC), SOQL, and Salesforce Flows.
• Build and enhance Salesforce Service Cloud capabilities, including Case Management, workflow automation, and customer service processes.
• Develop reusable components, custom business logic, and integrations following Salesforce best practices.
• Optimize application performance, scalability, and maintainability.

Agentforce AI-Powered Solutions

• Develop and enhance Salesforce Agentforce capabilities to support AI-powered customer interactions.
• Work on conversational AI solutions, including chatbots, order tracking, customer assistance, and knowledge-based responses.
• Configure and integrate Agentforce topics, actions, instructions, and business workflows.
• Collaborate with the team to improve agent accuracy, reliability, and customer experience.
• Explore opportunities to automate business processes using Agentforce and generative AI.

Enterprise Integration API Development

• Design and develop integrations between Salesforce and enterprise applications using REST APIs and other integration mechanisms.
• Integrate Salesforce with Order Management Systems (OMS), customer service applications, and backend microservices.
• Implement secure API communication, authentication, error handling, and asynchronous processing.
• Collaborate with backend engineering teams to ensure reliable data exchange across enterprise systems.

Case Management Customer Experience

• Develop and enhance Salesforce Case Management workflows, including case creation, routing, assignment, escalation, and resolution.
• Implement business rules, validations, approval workflows, and service automation.
• Support customer service use cases such as order status, delivery inquiries, and customer support requests.
• Work with product teams to translate business requirements into technical solutions.

Voice Integration Data-Driven AI

• Contribute to integrating Agentforce with voice-based customer service and conversational AI platforms.
• Support the development of AI-powered interactions across chat and voice channels.
• Work with Salesforce Data Cloud and enterprise knowledge sources to improve contextual customer interactions.
• Participate in implementing retrieval-augmented generation (RAG) and knowledge-based AI capabilities.

Engineering Excellence Ownership

• Take ownership of assigned features from technical design through development, testing, deployment, and production support.
• Participate in architecture discussions, code reviews, sprint planning, and technical design sessions.
• Develop unit tests and support automated testing to ensure software quality.
• Troubleshoot complex application issues and perform root-cause analysis.
• Follow CI/CD, secure coding, and engineering best practices.
• Leverage AI-assisted development tools to improve engineering productivity.
• Mentor junior engineers and contribute to team knowledge sharing.

Qualifications

Required Technical Skills

• 5-8 years of software development experience, with strong hands-on Salesforce development expertise.
• Strong proficiency in Apex, Lightning Web Components (LWC), SOQL, and Salesforce Flows.
• Experience with Salesforce Service Cloud, including Case Management and workflow automation.
• Strong understanding of Salesforce data models, security, permissions, and application architecture.
• Experience integrating Salesforce with external systems using REST APIs, JSON, and authentication mechanisms such as OAuth 2.0.
• Experience with asynchronous Apex, triggers, batch processing, and platform events.
• Good understanding of object-oriented programming, design patterns, and software engineering principles.
• Experience with Salesforce development tools, Git, CI/CD pipelines, debugging, and unit testing.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Experience working in Agile/Scrum development environments.

Preferred / Good-to-Have Skills

• Hands-on experience with Salesforce Agentforce, including agent configuration, topics, actions, and conversational workflows.
• Exposure to Salesforce Einstein AI, Prompt Builder, and generative AI capabilities.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.