Sales Engineer – AI & Agentic Sales Systems

Role Overview

This role offers the opportunity to design the next generation of AI-powered revenue systems within a fast-growing healthcare technology environment. You will combine software engineering, artificial intelligence, automation, and sales operations expertise to build intelligent systems that transform how teams generate and manage opportunities.

What You Will Do

Design and build autonomous AI-powered sales pipelines capable of lead qualification, nurturing, opportunity management, and sales support. Develop AI agents that automate key sales activities including lead research, prospect scoring, personalized outreach, follow-ups, meeting preparation, proposal generation, and CRM updates.

Why It Might Be a Fit

The ideal candidate is a technically skilled engineer with experience building AI solutions, automation systems, and scalable software platforms. They should combine strong engineering fundamentals with business understanding and the ability to translate sales challenges into intelligent technical solutions.

Requirements

• Bachelor’s degree or higher in Engineering, Computer Science, Data Science, Artificial Intelligence, or a related technical field.
• 5+ years of experience building enterprise software, AI solutions, or complex automation systems.
• Experience designing agentic AI systems, multi-agent workflows, or AI-powered business applications.
• Proven experience developing automated sales, marketing, or revenue operations systems.
• Strong knowledge of CRM platforms such as HubSpot, Salesforce, Microsoft Dynamics, or similar enterprise solutions.
• Experience integrating APIs, SaaS platforms, and business applications.
• Hands-on experience with Large Language Models (LLMs), including OpenAI, Anthropic Claude, or Google Gemini.
• Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), AI evaluation methods, and AI orchestration frameworks.
• Experience with AI agent memory, planning architectures, and intelligent workflow automation.
• Strong programming skills in Python, JavaScript, TypeScript, SQL, REST APIs, Git, and CI/CD practices.
• Experience with cloud technologies including AWS, serverless architecture, and API-based infrastructure.
• Understanding of data modeling, predictive analytics, lead scoring, business intelligence, sales forecasting, and marketing attribution.
• Ability to collaborate effectively with technical and non-technical stakeholders.
• Strong problem-solving skills with the ability to operate independently in a fast-paced environment.

Benefits

• Competitive compensation package based on experience and qualifications.
• Full-time employment opportunity with remote, hybrid, or onsite flexibility depending on location.
• Opportunity to work on cutting-edge AI technologies transforming healthcare operations.
• Collaborative environment focused on innovation, experimentation, and measurable impact.
• Access to modern tools and technologies for building scalable AI-powered systems.
• Standard US business hours with flexibility aligned to team needs.