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Sales Engineer – AI & Agentic Sales Systems

Role overview

Qualifications

  • Bachelor's degree or higher in Engineering, Computer Science, Data Science, or Artificial Intelligence
  • 5+ years building enterprise software or AI solutions
  • Experience designing agentic AI systems or multi-agent workflows
  • Proven success building automated sales or marketing systems

Responsibilities

  • Design and build an agentic AI sales pipeline capable of autonomous lead qualification, nurturing, and opportunity management.
  • Develop AI agents that collaborate to perform tasks such as lead research, prospect scoring, personalized outreach, follow-up automation, meeting preparation, and proposal generation.
  • Engineer integrations between HubSpot (or similar CRM), AI services, marketing platforms, and internal systems.
  • Continuously improve AI agents through experimentation, A/B testing, and performance monitoring.

About the company

WRS Health logo

WRS Health

Digital Health & Health Tech

Company details

Company typeSME
IndustryDigital Health & Health Tech

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Job description

Company Overview

WRS Health is a leading cloud-based Electronic Health Record (EHR) and Revenue Cycle Management (RCM) company serving medical specialties across the United States. We are transforming healthcare technology by leveraging artificial intelligence, autonomous agents, and advanced analytics to automate sales, marketing, and clinical workflows.

We are seeking a highly technical Sales Engineer who can architect and build an AI-powered, agentic sales pipeline that drives scalable revenue growth. This is a hands-on engineering role for someone who enjoys designing intelligent systems that combine CRM automation, LLMs, cloud infrastructure, and data science.

Job Purpose

The Sales Engineer will design, implement, and optimize an end-to-end autonomous sales ecosystem using modern AI technologies. This individual will engineer intelligent sales agents capable of prospecting, qualifying, nurturing, and assisting sales representatives throughout the customer lifecycle.

The ideal candidate has a strong software engineering background, experience with Large Language Models (LLMs), cloud architecture, CRM automation, and data-driven decision making.

Key Responsibilities

  • Design and build an agentic AI sales pipeline capable of autonomous lead qualification, nurturing, and opportunity management.
  • Develop AI agents that collaborate to perform tasks such as:
    • Lead research
    • Prospect scoring
    • Personalized outreach
    • Follow-up automation
    • Meeting preparation
    • Proposal generation
    • CRM updates
  • Engineer integrations between HubSpot (or similar CRM), AI services, marketing platforms, and internal systems.
  • Build workflows utilizing modern orchestration frameworks and multi-agent architectures.
  • Design prompt engineering strategies and evaluation pipelines for production AI systems.
  • Implement cloud-native AI infrastructure using AWS.
  • Develop dashboards and analytics that measure funnel performance, AI effectiveness, conversion rates, and revenue attribution.
  • Work closely with Sales, Marketing, Product, and Executive leadership to optimize the entire revenue lifecycle.
  • Evaluate and integrate emerging AI technologies into the sales organization.
  • Continuously improve AI agents through experimentation, A/B testing, and performance monitoring.

Qualifications

Education

  • Bachelor's degree or higher in:
    • Engineering
    • Computer Science
    • Data Science
    • Artificial Intelligence

Required Experience

  • 5+ years building enterprise software or AI solutions
  • Experience designing agentic AI systems or multi-agent workflows
  • Proven success building automated sales or marketing systems
  • Experience with HubSpot CRM or comparable enterprise CRM platforms (Salesforce, Microsoft Dynamics, Zoho CRM, etc.)
  • Strong experience integrating APIs and SaaS platforms
  • Experience implementing AI-driven workflow automation
  • Strong understanding of modern sales operations and pipeline management 

Technical Skills:

Artificial Intelligence

  • Experience with modern Large Language Models including:
    • OpenAI
    • Anthropic Claude
    • Google Gemini
  • Prompt engineering
  • Retrieval-Augmented Generation (RAG)
  • AI evaluation and testing
  • AI orchestration frameworks 
  • Agent memory and planning architectures

Cloud & Infrastructure

  • AWS, Serverless architecture, API Gateway

Programming

  • Python, JavaScript, TypeScript, SQL, REST APIs, Git, and CI/CD pipelines

Data & Analytics

  • Data modeling
  • Predictive analytics
  • Lead scoring
  • Business intelligence
  • Dashboard development
  • Marketing attribution
  • Sales forecasting

CRM & Automation

  • HubSpot
  • CRM workflow automation
  • Marketing automation
  • Customer segmentation

Preferred Qualifications

  • Experience in healthcare technology, EHR, SaaS, or Revenue Cycle Management
  • Experience building AI copilots or autonomous business agents
  • Familiarity with vector databases and semantic search
  • Knowledge of healthcare interoperability standards and APIs
  • Experience integrating conversational AI into customer engagement workflows
  • Understanding of MLOps and production AI deployment

What Success Looks Like

Within the first 12 months, you will:

  • Build an autonomous AI-powered sales pipeline
  • Deploy intelligent agents that automate repetitive sales tasks
  • Increase qualified lead generation through AI-driven prospecting
  • Improve CRM data quality and automation
  • Reduce manual sales operations through intelligent workflows
  • Deliver measurable improvements in pipeline velocity, conversion rates, and revenue growth

Ideal Candidate

You are an engineer first and a problem solver at heart. You enjoy building intelligent systems that automate complex business processes and are excited by the opportunity to transform traditional sales organizations into AI-powered revenue engines. You thrive in a fast-paced environment where experimentation, innovation, and measurable results drive success.

 

Additional Details

  • Job Type: Full-time
  • Location: US | Remote/Onsite/Hybrid
  • Hours: Must be available during standard US business hours (9:00 AM – 5:00 PM EST or 8:30 AM – 4:30 PM EST)

This job description outlines the general responsibilities of the role and is not exhaustive. Additional duties may be assigned as needed to support business operations.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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