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Sr. Salesforce Developer

Own Company

Own Company

Software Engineering, Sales & Business Development
Indianapolis, IN, USA
Posted on Dec 23, 2025

Description

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 engineering, and tuning models for multi-domain or multi-language use cases.

  • Experience supporting global rollouts of agent solutions and scaling across multiple regions.

  • Previous work on multi-language or global agent deployments.

  • Salesforce certifications or equivalent expertise in AI-enhanced CRM solutions.

  • A related technical degree required

  • Experience with SaaS/PaaS architectures and large-scale enterprise agent implementations.