Founding Engineer

Your Role:

You'll work closely with the founders to discover, spec, and build automations that transform how property management companies operate. As a founding engineer, you'll tackle fascinating technical challenges at the intersection of LLMs and legacy software systems, helping us create truly autonomous workers that can handle complex human workflows.

• Complex Architectural Puzzles: Navigate challenges in natural language interfaces, model evaluation complexities, customizing models to diverse client-specific needs, and multi-modal delivery (i.e., SMS, Voice, and embedded chat widget).
• Domain-Specific Models: Fine-tune and evaluate models to handle the nuanced requirements of property management, including maintenance diagnosis, vendor coordination, and tenant communication.
• Model Evaluations and Algorithms: Conceptualize and implement multi-step conversational workflows, retrieval augmented generation (RAG), search, and QA algorithms.
• Engineering Large-scale LLM Systems: Ensure optimal performance while engineering and assessing vast interconnected LLM systems.
• Data Harvesting and Structuring: Design and build pipelines that can ingest, structure, and retrieve diverse property management data to augment our LLMs with domain knowledge.
• High-Performance Infrastructure: Optimize for quick response times and efficient model inference while maintaining reliability at scale.

How You'll Work:

• Project Ownership: Own projects from start to finish and architect solutions on your own with limited guidance. This could look like talking to customers, scoping out a solution, and then building, testing, and documenting it — all within a few days!
• Full Stack Development: Work across the entire tech stack, writing backend, frontend, and LLM system code.
• Complete Autonomy: You’ll be on the cutting edge of a developing technology space. Experimentation and rapid iteration aren’t just encouraged, they’re expected!

This is a unique opportunity to shape the future of the housing industry while working with the latest advancements in AI. You'll be building something truly novel – not just another API wrapper around ChatGPT, but sophisticated systems that can reliably automate complex human workflows.

What We are Looking for

• Experience: At least 2 years of hands-on experience with software engineering. Alternatively, 2+ years working more generally in AI/ML.
• Versatility: You are comfortable working at every level of the stack; from writing backend and frontend code, to designing LLM chains, to implementing necessary tools or processes.
• Autonomy: You don’t require heavy direction, enjoy open-ended problems, and thrive in the face of uncertainty – typical elements of a startup environment.
• Decision-Making Skills: Ability to make quick technical decisions and clearly communicate your decision-making process.
• Communication Skills: You’re clear and concise in explaining your thought process and in enumerating the tradeoffs made in your work.
• Relocation: Open to relocating to NYC.
• Passion for LLMs: You keep up with the latest developments in AI/LLMs in your spare time and are eager to apply these to solve real-world problems.
• Bonus: Familiarity with emerging prompting techniques and familiarity building agents over different modalities (voice, email, SMS).
• Bonus: Experience in building AI agents (e.g., with langchain's/llamaindex’s agents, memory, and chain modules). We want to see what you’ve built!

Technology Stack

Frontend

• Vue JS
• Vite
• Tailwind

Backend

• NodeJS
• Express
• Typescript
• MongoDB

ML

• GPT, Claude, Gemini, and Llama family of models
• Embeddings

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.