Sr. Salesforce Developer

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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Sr. Salesforce Developer
Office hybrid in Indianapolis or Dallas

The Salesforce Digital Technology (DET) Applications team is looking for a full stack Senior Member of Technical Staff (SMTS) to join our DET Application Development team. DET application development is growing, and it is a great time to join the team. You will be working on application development for the Sales domain, with a focus on Salesforce Agents, Agentforce, and prompt-driven AI solutions. You will work with a group of world-class engineers, architects, and product managers to build scalable breakthrough features and integrations. You have a solid understanding of the MVC pattern, an obsession with commenting your code, a natural tendency to self-test your code before calling it done, and a knack for building quality user experiences.

 

Responsibilities:

• Design, develop, and maintain Salesforce Agents and Agentforce solutions, including L1/L2 nodes, sub-agents, and AI-driven workflows.

• Build and optimize prompts and LLM interactions to improve Agent performance, accuracy, and scalability.

• Collaborate with product, engineering, and AI teams to define requirements and translate them into technical solutions for agent-driven automation.

• Implement monitoring, retry logic, and exception handling for agent workflows and lead distribution.

• Work on document ingestion pipelines, Data Cloud integrations, and content processing to feed AI models and agents.

• Conduct experiments, A/B testing, and prompt tuning to continuously improve agent behavior and outcomes.

• Collaborate with and provide guidance to other engineers working on agent-related technologies, sharing best practices and fostering team learning.

• Contribute to architecture, design, and best practices for AI-enabled agent systems, ensuring scalability, maintainability, and performance.

• Partner with other teams to integrate agent solutions across Salesforce clouds while adhering to data governance and security standards.

• Drive innovation in agent experiences while evaluating new AI and generative technologies to enhance the overall platform.

 

Required Experience:

• 6 + years of Software Engineering experience

• Proven experience building and maintaining Agentic solutions, including intelligent agents, chatbots, workflow automation, and Agentforce.

• Hands-on experience with Data Cloud and document ingestion pipelines for AI/agent-driven solutions.

• Strong understanding of AI/ML models, prompt design, intent detection, and LLM integration.

• Experience with multi-language agent deployments and scaling agents for global use cases.

• Expertise with Agentic tools and frameworks used in Salesforce or similar cloud platforms

• Full-stack development skills (backend & frontend), including JAVA/APEX, LWC, HTML, CSS, JavaScript frameworks (React, AngularJS, EmberJS).

• Expertise in relational databases and data modeling (SQL, SOQL).

• Experience driving architectural decisions, providing collaborative guidance, and mentoring other engineers.

• Knowledge of Web Services (SOAP/REST) and API integrations for scalable agent operations.

• Familiarity with Agile/Scrum methodology and full SDLC ownership.

• Solid understanding of MVC framework, OO design principles, and building maintainable, high-quality solutions.

 

Desired Experience:

• Prior experience in designing and optimizing intelligent agents, Agentforce solutions, or conversational AI platforms.

• Familiarity with document ingestion tools and AI-driven data pipelines to enhance agent knowledge.

• Hands-on experience with AI/ML integration, prompt en