Business Systems Automation Engineer

CentralReach • Holmdel Township, NJ

9h • $110,000 - $125,000 • Hybrid

About The Position

We're building the next layer of intelligent CRM — where language models, automated workflows, and structured business data work together to drive real outcomes. As an AI Automation & CRM Integration Engineer, you'll sit at the intersection of AI development and Salesforce-powered operations, designing and deploying systems that turn natural language into business action. This isn't a role for someone who wants to stay in a sandbox. You'll be connecting live LLM pipelines to production CRM systems, engineering the reasoning layers that make those connections useful, and building automation flows that scale across the business

Requirements

• Multi-step AI automation Builds end-to-end AI workflows across connected systems — triggering model calls, routing outputs, and updating downstream platforms without manual handoffs.
• Full-stack LLM + Salesforce integration Connects LLM APIs directly to Salesforce objects and flows — designing pipelines that pull live CRM context into model prompts and write structured outputs back into SFDC.
• Prompt engineering & LLM evaluation Engineers prompts systematically and measures their performance — from few-shot design and output validation to RAG retrieval quality and business-aligned evaluation frameworks.
• Knowledge-based AI & ontology design Understands how to structure what a system needs to know — defining entity types, relationships, and semantic hierarchies so that AI pipelines reason accurately over real-world information.

Nice To Haves

• Exposure to revenue operations workflows, pipeline reporting, or CRM-driven business processes
• Experience working with Tableau or SFDC dashboards in a cross-functional analytics context
• Ability to frame AI outputs in terms of business value — lead conversion, churn reduction, process efficiency

Responsibilities

• Design and deploy multi-step AI automation flows that connect LLM inference, CRM triggers, webhook events, and data transforms across integrated systems
• Build and maintain full-stack integrations between large language model APIs and Salesforce — reading and writing CRM context dynamically into model prompts and back into SFDC objects and flows
• Engineer prompt templates, few-shot frameworks, and output validation logic to ensure AI responses meet business-defined quality standards
• Develop and run LLM evaluation pipelines using frameworks such as RAGAS, TruLens, or equivalent, measuring model performance against real business outcomes
• Develop and run LLM evaluation pipelines using frameworks such as RAGAS, TruLens, or equivalent, measuring model performance against real business outcomes
• Collaborate with Tableau and Salesforce stakeholders to surface AI-driven insights through dashboards and reporting workflows
• Translate technical model outputs into interpretable business signals, supporting revenue operations and pipeline visibility

Benefits

• competitive compensation
• comprehensive health benefits
• generous PTO
• 401(k) matching
• paid parental leave
• hybrid work schedules
• career development support
• wellness programs
• opportunities to give back through CR Cares™, our community engagement initiative

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 11-50 employees