AI Operator / Engineer at East Harbor

, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Jul, 26

Salary

110000.0

Posted On

25 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Artificial Intelligence, Machine Learning, Large Language Models, RAG, Prompt Engineering, SQL, NoSQL, AWS, GCP, Azure, Git, Data Pipelines, Automation, Financial Analysis, API Integration

Industry

Financial Services

Description

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

Responsibilities

You will build and integrate AI-driven workflows to automate financial processes such as document classification and data extraction. Additionally, you will develop internal tools and client-facing features to streamline deal pipelines and improve operational efficiency.