Applied AI Engineer - Remote

Overview

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.

In Short

• Design and build AI pipelines using frameworks like LangGraph, CrewAI, n8n, and LangChain.
• Build and scale RAG, Graph-RAG, and custom fine-tuned LLM solutions.
• Develop agent patterns for multi-step reasoning and tool execution logic.
• Collaborate with engineers and product managers to create robust production systems.
• Contribute to internal frameworks for evaluating and debugging agents.
• Drive experimentation with memory systems and knowledge graph integration.
• Participate in agent simulation testing and establish design strategies.

Requirements

• 1–3 years experience in applied ML or LLM research or engineering.
• Experience building agentic systems using tools like LangGraph, CrewAI, or LangChain.
• Familiarity with RAG, Graph-RAG, and dynamic tool use orchestration.
• Strong Python proficiency and experience with GCP, SQL, and DBT.
• Foundation in statistics, including hypothesis testing and regression.
• Experience applying NLP and transformer-based models in production.

Benefits

• Base salary of $100,000-120,000.
• Equity options for company’s growth.
• Comprehensive healthcare plans.
• Generous parental leave policy.
• Unlimited vacation days.
• Flexible work schedule for remote work.
• Access to professional development opportunities.
• Collaborative and inclusive company culture.