AI Research Associate

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.