Sales Engineer – AI & Agentic Sales Systems
Skills
Computer ScienceSoftware As A ServiceBusiness IntelligenceData AnalyticsDatabasesHealthcareInterest Rates
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 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
- Experience with HubSpot CRM or comparable enterprise CRM platforms
- Strong experience integrating APIs and SaaS platforms
- Experience implementing AI-driven workflow automation
- Strong understanding of modern sales operations and pipeline management
- Experience with modern LLMs including OpenAI Anthropic Claude or Google Gemini
- Prompt engineering experience
- Retrieval-Augmented Generation experience
- AI evaluation and testing experience
- AI orchestration frameworks experience
- Agent memory and planning architectures experience
- AWS and serverless architecture experience
- API Gateway experience
- Python JavaScript TypeScript SQL REST APIs Git and CI/CD experience
- Data modeling predictive analytics lead scoring business intelligence dashboard development marketing attribution and sales forecasting experience
Nice to have
- Healthcare tech experience
- EHR experience
- SaaS experience
- Revenue Cycle Management experience
- AI copilot experience
- Autonomous business agents
- Vector databases
- Semantic search
- Healthcare interoperability
- Conversational AI
- MLOps
Day to day
- Design and build an AI-powered agentic sales pipeline that automates lead qualification nurturing and opportunity management
- Develop intelligent agents for lead research prospect scoring personalized outreach follow-up automation meeting prep proposal generation and CRM updates
- Integrate HubSpot or similar CRM platforms with AI services marketing tools and internal systems while improving funnel performance and revenue attribution