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AI Research Associate / Applied AI Engineer at Cherre

Cherre is a US-based startup, leader in real estate data and insight. They connect decision makers to accurate property and market information to help them make faster, smarter decisions.

The Good Stuff

Type: HireWiseThis role includes our shorter 2-step vetting process.
  • Annual salary:

    $55,000 to $70,000 USD

  • Capital Raised:

    $75M

  • Head Count:

    >100

  • Remote Culture:

    100% Remote

Required stack

  • SQL

  • Python

  • DBT

  • LangChain

Company Info

  • 15+

    Engineers hired

  • 14

    avg. days-to-hire

  • >80%

    of the Remote Engineers hired by Flatworld

AI Research Associate / Applied AI Engineer at Cherre

Recommended timezone: LATAM

Cherre is a US-based startup, leader in real estate data and insight. They connect decision makers to accurate property and market information to help them make faster, smarter decisions.

As an AI Research Associate / Applied AI Engineer you will:

  • Design and build AI pipelines using frameworks like LangGraph, CrewAI, n8n, and LangChain to create modular, testable, and composable agents.
  • Build and scale RAG, Graph-RAG, and fine-tuned LLM solutions for real estate data normalization, enrichment, summarization, and analytics.
  • Develop agent patterns that can reason over tools, retrieve context, and persist goals, enabling multi-step reasoning and tool execution logic.
  • Collaborate with engineers, product managers, and domain experts to transform POCs into robust production systems.
  • Contribute to internal frameworks and standards for evaluating and debugging agents (e.g., LangFuse, OpenTelemetry, or custom traces).
  • Drive continuous experimentation with memory systems, vector search, and knowledge graph integration for dynamic personalization and logic-based chaining.
  • Participate in agent simulation testing and contribute to establishing MCP-based design strategies for safe and reusable AI behaviors.

You’ll be a great fit if you have:

  • 1–3 years of experience in applied ML or LLM research/engineering.
  • Hands-on experience building agentic systems with LangGraph, CrewAI, n8n, Flowise, or LangChain.
  • Strong Python proficiency with experience in GCP, SQL, and DBT.
  • Solid foundation in statistics, including hypothesis testing, regression, and time series analysis.
  • Experience applying NLP and transformer-based models in production workflows.
  • Familiarity with RAG, Graph-RAG, vector stores, and dynamic tool use orchestration.

Bonus points if you:

  • Experience using LangFuse (or similar) for tracing and observability.
  • Prior work in real estate, financial services, or other structured yet messy domains.
  • Contributions to open source agent/orchestration libraries.

Benefits

  • A fully remote position 
  • Competitive compensation package 
  • Equity (stock options) 
  • Distributed & flexible work arrangements 
  • Inclusive Work Environment 
  • B2B Contract employment 

Work-life balance

  • Paid Parental Leave 
  • Educational Credit 
  • Unlimited Vacation 
  • An environment that encourages learning and development

Visa Sponsorship: Not Available

Want to know what getting hired at Cherre with Flatworld is like?

Alright... so you’ve made it all the way down

You’re probably wondering: “yeh, it sounds great, but what the hell is Flatworld?”

In a nutshell: we help developers find fully remote roles!

What makes us amazing for developers is that instead of applying to jobs individually, you simply apply to our platform and we take care of matching you to a company and getting you hired.

That means we go out and show the companies you're the right fit for them.

We will also hold your hand through the paperwork and hiring process so all you have to do is complete our application, show up to some interviews, and lay back while we get you the job.

It really is that simple... so simple that if Linus was a remote dev looking for a job he'd be like:

“Flatworld is just incredible... I can’t even explain it”

* No, Linus didn’t say this. But he probably would...

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Cherre Cheat Sheet

Cherre is a fast-growing real estate data and insight company with a team of fully remote employees

In 2021 alone, they 

  • Won 2021 GlobeStreet CRE Tech Influencer Award
  • Won AI Artificial intelligence Excellence Award
  • Announced  a $50 Million Growth Funding Round

A whole breed of new technology companies exist because of their platform, adding value to millions of end customers  every day. 
They are backed by the leading investors in the real estate space, as well as the largest investor in AI in the world, including Intel Capital, Navitas, Carthona, and Zigg.

Problems they are solving

Cherre is a fast-growing real estate data and insight company with a team of fully remote employees. Cherre’s vision is to transform real estate investing and underwriting into a science. Their mission is to connect all real estate data and make it accessible for better investment and underwriting decisions.Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.

Why you'll love working at Cherre

The Cherre team: 

  • is a collaborative group of smart people with different experiences, ideas & approach.
  • is always striving to learn & do more.
  • share responsibility in our success and in addressing known potential failure
  • always  assume the best intent and that every member of their team is trying to make their product and work life better

Financial Background

  • Founded In

    2016

  • Capital Raised

    $75M

Team stats

  • Head Count

    >100

  • Engineering team

    >30

Financial Background

  • Founded In

    2016

  • Capital Raised

    $75M

Team stats

  • Head Count

    >100

  • Engineering team

    >30