Product Engineer

Remote

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Real Estate, Data Management, Software DevelopmentIndustries

Requirements

Candidates should possess 6+ years of professional full-stack software engineering experience, with proficiency in TypeScript, modern frontend frameworks like React/Redux, and backend technologies such as Python (Flask, FastAPI, Django) and/or Node.js. Experience in API development (REST/GraphQL), applying AI technologies to software engineering tasks (e.g., prompt engineering, Copilot, GPT integration), and familiarity with LLM development patterns, RAG, and agentic tooling are required.

Responsibilities

The Product Engineer will execute the full software development life cycle for full-stack applications, developing real estate analytics products with advanced geospatial and data visualizations. Responsibilities include architecting frontend interfaces with React/Redux and backend APIs with Node.js/TypeScript, applying prompt engineering and agentic AI systems to accelerate software delivery, and designing workflows that integrate AI-generated code into existing pipelines. The role also involves building internal tools to optimize tasks like testing, refactoring, documentation, and code reviews, collaborating on human-AI pair programming best practices, and evaluating new AI development tools and protocols.

Skills

Product Development

Real Estate Analytics

Geospatial Visualizations

Server-side Infrastructure

AI-driven Code Generation

Prompt Engineering

Agentic Systems

MCP

Fullstack Development

SDLC

Frontend Development

React

Redux

Backend Development

Node.js

TypeScript

APIs

OpenAI Assistants

GPT Agents

CI/CD

Testing

Refactoring

Documentation

Code Reviews

Pair Programming

LangChain

Cherre

Real estate data integration platform using AI

About Cherre

Cherre provides a platform that integrates and connects real estate data for organizations, primarily serving real estate investors, managers, and underwriters. The platform uses artificial intelligence to filter and organize data, making it accessible and easy to understand. This data helps clients optimize their investment, management, and underwriting decisions, particularly benefiting Single Family Residential investors with tailored data collections. Cherre operates on a business-to-business model, generating revenue by offering data integration services. Its platform acts as a 'single source of truth', ensuring that all levels of an organization can access accurate data for informed decision-making. Additionally, Cherre's Data Partner Network allows for the seamless addition of new data, keeping clients updated with the most comprehensive information available.

New York City, New YorkHeadquarters

2016Year Founded

$102.1MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, Financial Services, Real EstateIndustries

51-200Employees