Applied AI Engineer

Uloop Inc.; Miami (FL); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Transparent work environment

Career growth opportunities

Job summary

Uloop Inc. in Miami is seeking a pragmatic Applied AI Engineer to enhance our financial technology. Your role will bridge C#/.NET architecture with AI, focusing on data integration and automation in a high-stakes environment.

Ideal candidates will have a strong background in Python with experience in AI frameworks and a collaborative mindset. The position offers a transparent working environment and opportunities for career growth.

Qualifications

• Strong experience in Python, with advantage for C#/.NET.
• Experience integrating LLMs into applications via API.
• Experience handling complex data structures.

Responsibilities

• Write production-grade code that interacts with external AI APIs.
• Version, test, and optimize prompts for AI usage.
• Build logic that parses AI responses and validates them.

Skills

Software engineering

Python

C#/.NET

Applied AI experience

Data handling

AWS infrastructure

Job description

The Role

We are looking for a pragmatic Applied AI Engineer to join our engineering team. The role is not about training models and does not involve academic Machine Learning research. It is about building the rails that make AI usable in a high‑stakes financial environment. You will bridge the gap between our robust C#/.NET architecture and the probabilistic world of LLMs.

The Challenge

Title and Escrow is a document‑heavy industry with zero room for error. Your mission is to use AI to clean up the messiness of real‑world real estate data.

• Structured Data Extraction: Converting messy, unstructured data (like emails, PDFs, documents) from various sources into strictly validated JSON schemas with as close to 100% accuracy as possible.
• Escrow Automation: Designing workflows that reduce human intervention by 50% by intelligently routing tasks based on AI analysis.
• Fraud Detection: Implementing deterministic logic checks on bank and financial documents to detect fraud patterns before they happen.

What You’ll Do

• Engineer the Integration: Write production‑grade code that interacts with external AI APIs.
• Prompt Engineering as Code: Version, test, and optimize prompts. Define strict schemas to ensure the AI speaks the language of our internal tools.
• Orchestrate & Validate: Build logic that parses AI responses, validates them against our database (MongoDB), and flags inconsistencies before they reach the user.
• Full‑Stack Implementation: Visualize AI‑aided services and data for user review and approval.
• Collaborate: Work closely with senior engineers and product owners to translate complex Title & Escrow schemas into technical constraints that an AI can understand.

What You’ll Bring

• Developer DNA: Software engineer first with strong experience in Python (C#/.NET is an advantage) and deep programming knowledge.
• Applied AI Experience: Integrated LLMs into applications via API. Experience with models, AI frameworks, workflows, AI agent building, and orchestration. Understand context windows, token limits, temperature, and guardrails.
• Data Handling: Experience with complex data structures.
• The Glue Mindset: Write code that connects services (AWS, AI APIs, Database) to enable seamless features.
• Collaborative Autonomy: Own the AI domain while embedded in a senior engineering team that provides architecture, code reviews, and best practices.

Nice to Have

• Experience with AWS infrastructure.
• Familiarity with the US Real Estate, Title, or Escrow process.

What We Offer

Working in a transparent environment that focuses on solving problems and getting things done. The opportunity to work with very smart and driven people. The ability to grow your talents and career in a high‑growth sector. A remuneration package that is based on the candidate's motivation, skills, and experience.