Cherre · 4 months ago
Applied AI Engineer
United States
Full-time
Hybrid
Entry Level
$100K/yr - $120K/yr
1+ years expCherre provides a platform for real estate data solutions and is seeking an Applied AI Engineer to enhance their AI team. The role involves designing AI pipelines, building LLM solutions, and collaborating with various stakeholders to develop robust systems.
AnalyticsBig DataCommercial Real EstateData IntegrationReal Estate
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
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.
Company
Cherre
Cherre is a real estate data platform that connects decision-makers to property investment, management, and market information.
51-200 employees
H1B Sponsorship
Cherre has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (5)
2023 (3)
2022 (5)
2021 (2)
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$105MKey Investors
HighSage VenturesTrustbridge PartnersIntel Capital
2024-09-18Series C· $30M
2021-04-22Series B· $50M
2020-02-05Series A· $16M
Leadership Team
Ben Hizak
Co-Founder
L.D. Salmanson
Co-Founder
Recent News
PropTech Breakthrough
2025-08-13
Company data provided by crunchbase