Founding AI Engineer

Job 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.

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.

They are seeking a Founding AI Engineer to shape the technical vision and deliver production-grade AI systems that transform how there team sources deals, manages assets, and generates investor insights. This is a high-ownership role for a builder who thrives in ambiguity and wants their work to directly impact a growing investment platform. This role is on site 5 days a week.

• Python
• LLM APIs (OpenAI, Anthropic, Google, etc.)
• RAG pipeline development
• Multi-agent frameworks (Lang Chain, Lang Graph, CrewAI, or similar)
• API integration and production infrastructure
• SQL / Database knowledge
• Cloud platforms (AWS, Azure, or GCP)

• 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

• 70% AI System Development & Production Infrastructure
• 20% Evaluation, Testing & Optimization
• 10% Stakeholder Collaboration & Technical Strategy
• 100% Hands On

• 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

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

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