Responsibilities
- Embed directly with clients to discover operational pain points, map workflows, and identify high-ROI opportunities for AI and automation
- Design and build AI agents using frameworks such as LangChain, LangGraph, AutoGen, or similar — including tool-use, memory, and multi-agent orchestration patterns
- Develop AI-powered workflows that integrate with clients' existing systems (CRMs, ERPs, cloud platforms, communication tools, etc.)
- Engineer automation solutions across areas such as document processing, data extraction, reporting, customer communication, and internal operations
- Own the full delivery lifecycle — from scoping and architecture to build, testing, handoff, and lightweight documentation
- Train and enable client teams to maintain and iterate on solutions post-deployment
- Serve as a trusted technical advisor, translating complex AI capabilities into clear business value for non-technical stakeholders
- Contribute internally by codifying reusable components, playbooks, and delivery templates that scale across the practice
Tech Stack
LangChain, LangGraph, AutoGen, Zapier, Make, n8n, Pinecone, Weaviate, Chroma
Work Arrangement
Hybrid
Additional Information
- Willingness to travel regularly to client sites in the Tampa area (estimated up to 50%)
- Must be legally authorized to work in the United States without sponsorship now or in the future
