Agentic AI Engineer

Motion Recruitment; Charlotte (NC); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive base salary

Bonus

Equity / Long-Term Incentive

Medical Insurance

Dental Benefits

Vision Benefits

PTO

Job summary

Motion Recruitment seeks an Agentic AI Engineer in Charlotte, NC to design, build, deploy, and maintain AI-powered agents and multi-agent systems for automating business processes and enterprise integration.

The role is hands-on, emphasizing secure, HIPAA-aware development, observability, and collaboration with stakeholders. Candidates should have 3–5+ years in software engineering with strong Python and LLM API experience.

Qualifications

• Must have hands-on software development experience in AI agent projects.
• Experience building and deploying multi-agent workflows for enterprise use cases.
• Strong knowledge of secure development practices (HIPAA-aware).

Responsibilities

• Design and build AI agents using LLMs and agent frameworks.
• Develop multi-agent workflows for enterprise use cases (insurance recon, clinical summaries, procurement automation).
• Implement agent capabilities including reasoning, planning, memory, and tool use.
• Connect agents to Salesforce, HubSpot, EMR systems, internal APIs and databases.
• Build RAG solutions using company knowledge bases.
• Apply HIPAA-safe development practices (RBAC, audit logs, least-privilege).
• Monitor agent performance, reliability, and cost with observability frameworks.
• Prototype and iterate AI-driven workflows with business input.
• Mentor junior developers on agentic AI development practices.

Skills

Python

LLM APIs

LangChain / LangGraph

CrewAI / AutoGen / MS Agent Framework

API Integration

SQL / Database knowledge

Cloud platforms

MCP-enabled systems

Healthcare / Dental EMR systems

Education

BS or MS in Computer Science or related field

Job description

The Agentic AI Engineer will design, build, deploy, and maintain AI-powered agents and multi-agent systems that automate business processes and integrate with enterprise applications. The role is hands on and includes HIPAA-aware, secure development, along with agent development, platform engineering and observability, and collaboration through documentation.

Responsibilities

• Design and build AI agents using LLMs and agent frameworks including LangChain, LangGraph, CrewAI, and AutoGen.
• Develop multi-agent workflows for enterprise use cases such as insurance reconciliation, clinical record summarization, and procurement automation.
• Implement agent capabilities including reasoning, planning, memory, and tool use.
• Connect agents to enterprise systems, including Salesforce, HubSpot, EMR systems, internal APIs, databases, and SaaS applications.
• Build RAG solutions using company knowledge bases.
• Apply HIPAA-aware development practices such as RBAC, audit logging, least-privilege tool access, and prompt-injection defense.
• Monitor agent performance, reliability, and cost by building 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.

Time allocation: 70% AI Agent Development & Enterprise Integration, 20% Platform Engineering & Observability, 10% Collaboration & Documentation. 100% hands on.

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)

Desired Skills

• 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

Technologies

Python, LLM APIs, OpenAI, Anthropic, Google, LangChain, LangGraph, CrewAI, AutoGen, Microsoft Agent Framework, SQL, AWS, Azure, GCP, MCP-enabled Systems, DSN Cloud, WinOMS, Salesforce, HubSpot, RAG, HIPAA, RBAC.

Benefits

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

Location

Charlotte, NC (onsite)