Job description
Cherre provides investors, brokers, and other large enterprises with a platform to collect, resolve, and augment real estate data from thousands of public, private, and internal sources. By providing a “single source of truth,” we empower companies to evaluate opportunities and trends faster and more accurately, while saving them millions of dollars in manual data collection and analytics costs.
Cherre is looking for an automation-native, agent-oriented AI Research Associate / Data Scientist to join our AI team. You’ll dive deep into the world of Large Language Models (LLMs), multi-agent systems, and retrieval-augmented frameworks, helping us reimagine how real estate data is structured, queried, and acted upon.
This role is ideal for someone who already has hands-on experience building and deploying intelligent agents, chaining tool use with memory/state management, and applying best practices in orchestrated, context-aware LLM workflows.
Job summary:
- 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 custom 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—bringing multi-step reasoning and tool execution logic to life.
- Collaborate with engineers, product managers, and domain experts to turn exploratory POCs into robust production systems.
- Contribute to internal frameworks and standards for evaluating and debugging agents (e.g., using 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 (Modular Control Plan)-based design strategies for safe and reusable AI behaviors.
Must-have experience:
- 1–3 years experience in applied ML or LLM research or engineering.
- Demonstrated experience building agentic systems using tools like LangGraph, CrewAI, n8n and/or flowise, or LangChain—not just prompt engineering.
- Deep familiarity with RAG, Graph-RAG, vector stores, and dynamic tool use orchestration.
- Strong Python proficiency and experience with GCP, SQL, and DBT.
- Foundation in statistics, including hypothesis testing, regression, and time series analysis.
- Demonstrated experience applying NLP and transformer-based models in production workflows.
A plus if you have:
- Real-world use of LangFuse or equivalent frameworks for tracing and observability of LLM interactions.
- Prior work in real estate, financial services, or other structured yet messy domains.
- Contributions to open source agent or orchestration libraries.
- Previous experience in developing and deploying LLM-based solutions.
- Exposure to real estate data or a related field.
- Strong analytical and problem-solving skills, with a creative approach to leveraging AI for business solutions.
You should apply if:
- You’re obsessed with pushing the boundaries of what AI agents can do.
- You want to solve real business problems with autonomy, creativity, and speed.
- You value a fast-moving team where experimentation is encouraged, and results are measured by impact.
- You thrive in ambiguity and are confident bridging exploratory research and production engineering.
Benefits:
- Base salary of $100,000-120,000.
- Equity options: Opportunity to participate in the company’s equity program, allowing employees to share in Cherre’s success and growth.
- Comprehensive healthcare plans: A variety of healthcare options to meet your and your family’s needs, including medical, dental, and vision insurance.
- Paid parental leave: Generous parental leave policy that supports new parents in balancing family responsibilities with work commitments.
- Unlimited vacation: Enjoy the flexibility of unlimited vacation days, encouraging work-life balance and personal well-being.
- Flexible work schedule: Options for remote work and flexible hours, enabling you to tailor your work environment to enhance productivity.
- Professional development: Access to mentorship, workshops, and industry conferences to support career growth and enhance your skills.
- Collaborative company culture: A supportive and inclusive work environment that fosters collaboration, innovation, and open communication among team members.
If this opportunity sounds interesting, apply or reach out to our internal talent team. We are happy to tell you more about Cherre: the technology we work with, the problems we solve, the team we are assembling, and the culture we all contribute to. We are excited you are considering working with us and look forward to hearing from you!
Show us your AI skills in your application, will leave it up to you to figure out how.
“At the top of the mountain we are all snow leopards.” - Hunter S. Thompson
Cherre is an equal opportunity employer. We pride ourselves on hiring the best people for the job no matter their race, sex, orientation, nationality, religion, disability, or age.
