Salesforce Application Engineer
On-siteMenlo Park, California, United States
Job Summary
Design and implement a comprehensive evaluation framework for AI-generated employee support responses within Salesforce, establishing automated workflows to assess accuracy, relevance, groundedness, and policy compliance. Develop custom objects, Apex services, and Lightning components to build scalable infrastructure for capturing prompts, responses, and evaluation outcomes while integrating with AI platforms and data warehouses. Construct regression suites and dashboards to track hallucination rates, quality metrics, and operational performance, enabling early detection of regressions before production deployment. Partner with AI, Product, and Compliance teams to translate business policies into executable rules, manage human-in-the-loop review queues, and maintain versioned benchmarks for continuous quality assurance.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline
- 5+ years of enterprise application development experience
- 3+ years of hands-on Salesforce development experience
- Strong experience with Apex
- Strong experience with Lightning Web Components
- Strong experience with Salesforce Flow
- Strong experience with SOQL
- Strong experience with REST APIs
- Strong experience with Salesforce security and data models
- Experience building applications on Salesforce Service Cloud or Employee Service platforms
- Experience designing automated testing or quality assurance frameworks
- Strong knowledge of software engineering, integration, and CI/CD practices
- Experience working with AI, machine learning, conversational AI, or large language model applications
- Strong analytical, troubleshooting, and communication skills
Desired Qualifications
- Experience building evaluation infrastructure for generative AI or conversational AI systems
- Knowledge of AI evaluation concepts such as groundedness, relevance, factuality, hallucination detection, and model regression
- Experience with Salesforce Einstein, Agentforce, Data Cloud, or comparable AI-enabled Salesforce capabilities
- Experience integrating Salesforce with enterprise knowledge bases and AI platforms
- Familiarity with Python, SQL, data pipelines, analytics platforms, and automated evaluation libraries
- Knowledge of prompt management, retrieval-augmented generation, model observability, or LLM operations
- Experience supporting HR, employee service, legal, compliance, or policy-driven applications
- Salesforce Platform Developer or Application Architect certification
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