Sales Engineer – AI & Agentic Sales Systems
New
J
JobgetherHealthcare Technology
United States, Standard US business hours with flexibility aligned to team needs.ContractSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AWSPythonSQLJavascriptTypeScriptRESTful APIsCRMPrompt EngineeringLLM
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.
Responsibilities
- 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.
- Build integrations between CRM platforms, AI services, marketing automation tools, and internal business systems.
- Create and optimize workflows using AI orchestration frameworks, multi-agent architectures, and modern automation technologies.
- Develop prompt engineering strategies, evaluation processes, and monitoring frameworks for production AI systems.
- Implement cloud-based AI infrastructure and scalable solutions using modern cloud services.
- Build dashboards and analytics solutions to measure funnel performance, AI effectiveness, conversion rates, and revenue attribution.
- Partner with Sales, Marketing, Product, and leadership teams to improve revenue operations and customer acquisition strategies.
- Research, evaluate, and integrate emerging AI technologies that enhance business performance.
- Continuously improve AI agents through experimentation, testing, performance analysis, and optimization.
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