# Job Description

We’re currently seeking an **Agentic AI Engineer** to design, build, deploy, and maintain AI-powered agents and multi-agent systems that automate business processes, integrate with enterprise applications, and execute complex workflows with minimal human intervention. This role works closely with business stakeholders and product teams to create production-ready agentic solutions using modern LLM frameworks, RAG architectures, and enterprise integrations. HIPAA awareness and data security are core to this role.

A fast-growing, Charlotte-headquartered healthcare technology company is on a mission to automate complex enterprise workflows through cutting-edge AI. With a collaborative, execution-focused culture, this organization is building production-grade agentic AI systems that directly support clinical, operational, and financial business processes. They are seeking builders — engineers who can move quickly from concept to production and deliver real business impact through intelligent automation.

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## Required Skills & Experience

– Python
– LLM APIs (OpenAI, Anthropic, Google, etc.)
– LangChain / LangGraph
– CrewAI / AutoGen / Microsoft Agent Framework
– API Integration
– SQL / Database Knowledge
– Cloud Platforms (AWS, Azure, or GCP)
– MCP-enabled Systems
– Healthcare / Dental EMR Systems (e.g., DSN Cloud, WinOMS)

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## Desired Skills & Experience

– 3–5+ years of software engineering experience
– BS or MS in Computer Science or related field
– Experience with vector databases (Pinecone, Weaviate, pgvector)
– Retrieval-Augmented Generation (RAG) architectures
– Containerization (Docker / Kubernetes)
– CI/CD and DevOps practices
– Prompt engineering and model tuning
– Agent evaluation frameworks
– Knowledge graph implementation
– Familiarity with AI coding tools (Codex, Claude Code, Cursor)
– Strong communicator and self-starter

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## What You Will Be Doing

– 70% AI Agent Development & Enterprise Integration
– 20% Platform Engineering & Observability
– 10% Collaboration & Documentation
– 100% Hands On

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## Daily Responsibilities

– Design and build AI agents using LLMs and agent frameworks (LangChain, LangGraph, CrewAI, AutoGen)
– Develop multi-agent workflows for enterprise use cases including insurance reconciliation, clinical record summarization, and procurement automation
– Implement reasoning, planning, memory, and tool-use capabilities within agent systems
– Connect agents to enterprise systems including CRM platforms (Salesforce, HubSpot), EMR systems, internal APIs, databases, and SaaS applications
– Build RAG solutions using company knowledge bases
– Implement HIPAA-aware development practices including RBAC, audit logging, least-privilege tool access, and prompt-injection defense
– Monitor agent performance, reliability, and cost; build evaluation and observability frameworks
– Rapidly prototype and iterate on AI-driven workflows with direct input from business stakeholders
– Mentor junior developers on agentic AI development practices

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## Benefits

– Competitive Base Salary + Bonus + Equity / Long-Term Incentive
– Medical Insurance
– Dental Benefits
– Vision Benefits
– Paid Time Off (PTO)

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

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