AI Research Associate

Remote

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Real Estate Data Analytics, Artificial Intelligence, Data ScienceIndustries

Requirements

The ideal candidate should possess 1-3 years of experience in applied ML or LLM research or engineering, demonstrating experience building agentic systems using tools like LangGraph, CrewAI, n8n, and/or LangChain, going beyond simple prompt engineering. They must have a deep familiarity with RAG, Graph-RAG, vector stores, and dynamic tool use orchestration, along with strong Python proficiency, experience with GCP, SQL, and DBT, and a foundation in statistics including hypothesis testing, regression, and time series analysis. Demonstrated experience applying NLP and transformer-based models in production workflows is also required.

Responsibilities

This AI Research Associate will design and build AI pipelines using frameworks like LangGraph, CrewAI, n8n, and LangChain to create modular, testable, and composable agents, and will build and scale RAG, Graph-RAG, and custom fine-tuned LLM solutions for real estate data normalization, enrichment, summarization, and analytics. They will develop agent patterns that can reason over tools, retrieve context, and persist goals, collaborating with engineers, product managers, and domain experts to turn exploratory POCs into robust production systems. Additionally, they will contribute to internal frameworks and standards for evaluating and debugging agents, drive continuous experimentation with memory systems, vector search, and knowledge graph integration, and participate in agent simulation testing while establishing MCP (Modular Control Plan)-based design strategies for safe and reusable AI behaviors.

Skills

Large Language Models

multi-agent systems

retrieval-augmented frameworks

LangGraph

CrewAI

n8n

LangChain

RAG

Graph-RAG

fine-tuned LLM

agent patterns

tool reasoning

context retrieval

memory management

vector search

knowledge graph

agent simulation

MCP (Modular Control Plan)

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