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Job Description

Motion Recruitment is seeking a Founding AI Engineer to architect and own AI infrastructure from the ground up for a Charlotte-based real estate investment and development firm. This is an onsite role with a 5 days per week schedule, focused on building and scaling AI systems that support investment analysis, asset management, acquisition workflows, and operational decision-making.

Role Overview

You will define the AI technical vision from day one and deliver production-ready systems end to end. The work includes designing retrieval and generation pipelines, orchestrating multi-agent workflows, integrating with existing platforms and databases, and partnering directly with firm leadership to translate business needs into scalable automation.

Key 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 supporting 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, including architecture, delivery, iteration, and scale
  • Partner directly with firm leadership to identify automation opportunities and translate business requirements into production solutions

What You Will Do (Time Breakdown)

  • 70% AI system development and production infrastructure
  • 20% evaluation, testing, and optimization
  • 10% stakeholder collaboration and technical strategy
  • 100% hands on

Required Skills & Qualifications

  • 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 GCP)

Education, Experience, and Location

  • Minimum experience: 3+ years
  • Education: BS or MS in Computer Science, Engineering, or related field
  • Location: Charlotte, NC (onsite)

Technologies

  • Python, OpenAI, Anthropic, Google
  • RAG, LangChain, LangGraph, CrewAI
  • SQL
  • AWS, Azure, GCP
  • Pinecone, Weaviate, pgvector

Benefits

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

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