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Closed on September 18, 2026.
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Job Description
As a Founding AI Engineer, you will help a Charlotte-based real estate investment and development firm architect and own its AI infrastructure from the ground up. This is an on-site role (5 days/week) focused on building and scaling AI systems that support investment analysis, asset management, acquisition workflows, and operational decision-making.
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, including architecture, delivery, iteration, and scale.
- Partner directly with firm leadership to identify automation opportunities and translate business needs into production solutions.
Required Skills and Qualifications
- Python
- LLM APIs (OpenAI, Anthropic, Google, etc.)
- RAG pipeline development
- Multi-agent frameworks (LangChain, LangGraph, CrewAI, or similar)
- API integration and production infrastructure experience
- SQL and database knowledge
- Cloud platforms (AWS, Azure, or GCP)
Technologies
- Python, OpenAI, Anthropic, Google
- RAG, LangChain, LangGraph, CrewAI
- SQL
- AWS, Azure, GCP
- Pinecone, Weaviate, pgvector
Role Focus and Time Allocation
- 70% AI System Development & Production Infrastructure
- 20% Evaluation, Testing & Optimization
- 10% Stakeholder Collaboration & Technical Strategy
- 100% Hands On
Education and 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
Additional Desired Skills
- Model evaluation frameworks covering accuracy, hallucination, latency, and cost
- Experience in finance, real estate, or investment management environments
- Comfort working directly with executives and non-technical stakeholders
- Self-starter who can independently own a technical roadmap
Benefits
- Competitive Base Salary + Performance Bonus
- Medical Insurance
- Dental Benefits
- Vision Benefits
- Paid Time Off (PTO)
- Equity / Long-Term Incentive Potential
Location and Work Model
Charlotte, NC (onsite), 5 days/week.
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