AI Operator / Engineer

AI ENGINEER Compensation: $70,000  -$110,000 / year Full-Time | On-Site — Miami, FL | Reports to: Operations Private Credit | Equipment & Real Estate Lending THE ROLE East Harbor Financial is a private credit firm in Miami looking for driven AI engineers to build tools that make us faster, sharper, and harder to compete with. This isn't a research role. You'll be building — automating deal workflows, extracting data from financial documents, building internal tools that save the team hours of manual work, and developing AI-powered features that improve how we operate and serve our clients. You'll work across the entire firm: deal processing, underwriting, closing, portfolio management, and client-facing operations. We're a small team. There's no AI department to plug into — you'll be the one building it. If that sounds like a challenge, good. That's the point. WHAT YOU'LL DO Internal Automation & Tooling • Build AI-driven workflows to automate repetitive financial processes: document classification, data extraction from credit reports, bank statements, tax returns, and closing packages • Develop internal tools that streamline deal pipeline tracking, checklist management, and compliance monitoring • Integrate AI capabilities into existing systems — automate what's manual, improve what's slow • Build and maintain data pipelines for financial document ingestion and processing • Create dashboards, alerts, and reporting tools that give the team real-time visibility into deal status and portfolio health Client-Facing & Product Development • Help design and build AI-powered features that enhance the borrower and broker experience • Develop tools for faster deal intake, automated document collection, and intelligent status updates • Build prototypes and MVPs — test ideas quickly, iterate based on feedback, ship what works • Work with the team to identify where AI creates a competitive edge in private lending AI/ML Engineering • Work with large language models (LLMs) — build prompts, agents, tool-calling workflows, and retrieval-augmented generation (RAG) systems • Fine-tune and deploy models for domain-specific tasks: financial document parsing, entity extraction, risk signal detection • Evaluate and integrate third-party AI services and APIs (OpenAI, Anthropic, open-source models) • Stay current on AI tooling and bring new capabilities into the firm as the landscape evolves WHO YOU ARE • A builder. You don't just study AI — you ship things. Side projects, hackathon wins, open-source contributions, personal tools — show us what you've made. • Comfortable in code. Python is your primary language. You know your way around APIs, databases, and cloud infrastructure. • Curious about finance. You don't need a finance degree, but you're interested in how lending works and you're willing to learn the domain deeply. • Resourceful. When a library doesn't do what you need, you build around it. When the docs are thin, you figure it out. • A clear communicator. You can explain a technical approach to a non-technical team and translate business problems into engineering solutions. • Self-directed. You'll have guidance, but not hand-holding. You manage your own priorities and ask smart questions when you're stuck. QUALIFICATIONS Required • Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative field — or equivalent demonstrated experience • Proficiency in Python and experience building software beyond coursework • Hands-on experience with LLMs, prompt engineering, or AI/ML frameworks (PyTorch, TensorFlow, LangChain, or similar) • Familiarity with APIs, databases (SQL and/or NoSQL), and cloud platforms (AWS, GCP, or Azure) • Understanding of version control (Git) and software development best practices • Strong problem-solving skills and the ability to learn new domains quickly Preferred • Portfolio of personal projects, open-source contributions, or deployed AI applications • Experience with RAG systems, vector databases, or AI agent frameworks • Familiarity with document processing, OCR, or structured data extraction from unstructured sources • Exposure to financial services, lending, or accounting data • Experience with JavaScript/TypeScript or full-stack development • Bilingual (English/Spanish) is a plus WHAT WE OFFER • Competitive salary commensurate with experience • Ground-floor opportunity to build the AI function at a growing private credit firm — you're not maintaining someone else's system, you're creating it • Direct exposure to every part of the business: deals, underwriting, closing, portfolio management, and strategy • A lean team where your work ships fast and has immediate, visible impact