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# Founding AI Engineer

- **Company:** Motion Recruitment Partners LLC.
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Databases, Python (Programming Language), SQL Databases, Data Processing, Google Cloud, Large Language Models, Multi-Agent Systems, Model Validation, Information Technology, Low Latency, Data Pipelines, Api Management
- **Published:** July 29, 2026
- **Apply:** https://www.dice.com/job-detail/c47fc58c-ac99-4a5f-9026-a6b5bb646f32

## About the Role

* Python
 * LLM APIs (OpenAI, Anthropic, Google, etc.)
 * RAG pipeline development
 * Multi-agent frameworks (LangChain, LangGraph, CrewAI, or similar)
 * API integration and production infrastructure
 * SQL / Database knowledge
 * Cloud platforms (AWS, Azure, or Google Cloud Platform)

Desired Skills & Experience

 * 3+ years of software or AI engineering experience
 * BS or MS in Computer Science, Engineering, or related field
 * Experience building and evaluating LLM systems in production
 * Vector databases (Pinecone, Weaviate, pgvector)
 * Model evaluation frameworks - accuracy, hallucination, latency, and cost
 * Experience in finance, real estate, or investment management environments
 * Comfortable working directly with executives and non-technical stakeholders
 * Self-starter who can own a technical roadmap independently

## Description

A Charlotte-based private real estate investment and development firm focused on healthcare, sports medicine, and mixed-use assets across the Southeastern United States is looking to bring on its first AI engineer. This is a ground-floor opportunity to architect and own the AI infrastructure from scratch - working directly with firm leadership to design, build, and scale intelligent systems that support investment analysis, asset management, acquisition workflows, and operational decision-making., * 70% AI System Development & Production Infrastructure

 * 20% Evaluation, Testing & Optimization
 * 10% Stakeholder Collaboration & Technical Strategy
 * 100% Hands On

Daily Responsibilities

 * Architect and build RAG pipelines, multi-agent frameworks, and fine-tuned models from scratch
 * Design evaluation loops to measure LLM accuracy, hallucinations, latency, and cost
 * Own production infrastructure including API integrations, streaming responses, data processing, and system safety guardrails
 * Build and scale AI systems that support deal sourcing, investment analysis, and asset management workflows
 * Integrate AI tools with existing platforms, databases, and internal systems
 * Define and own the AI technical vision from day one - architecture, delivery, iteration, and scale
 * Partner directly with firm leadership to identify automation opportunities and translate business needs into production solutions


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