Senior Software Engineer, Applied AI

October 14

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Mainstay

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Real Estate • eCommerce • B2C

Mainstay is a comprehensive platform designed for the residential real estate market that facilitates buying, selling, and managing properties efficiently. It offers expert pricing guidance, property tax management, and streamlined HOA administration, enabling users to navigate single-family rental opportunities with market intelligence and powerful tools. Trusted for its seamless transaction process, Mainstay has contributed to significant closed transactions, enhancing decision-making for both businesses and residents in the real estate sector.

51 - 200 employees

Founded 2024

🏠 Real Estate

🛍️ eCommerce

👥 B2C

📋 Description

• Contribute to all phases of product development, from ideation and prototyping to implementation and iteration • Build and evolve both frontend product experiences and backend services that power them • Fine-tuning existing models and optimize their performance for Mainstay use cases • Design reliable, scalable backend services to support AI-powered features in production • Leverage AI to modernize and automate legacy workflows in the real estate industry • Evaluate and benchmark LLM performance across latency, cost, accuracy, and hallucination rates • Tune prompts, chain-of-thought logic, and implement retrieval strategies such as RAG and vector stores • Monitor performance, safety, and cost of LLM-driven features in production environments • Define and build useful LLM-powered experiences in partnership with cross-functional teams • Mentor and support the growth of other engineers on the team • Collaborate closely with product managers, designers, and operators to identify and solve customer pain points

🎯 Requirements

• 5+ years of experience building and delivering production-grade software, ideally in fast-paced, high-growth startup environment • At least 3 years of hands-on experience developing and deploying production-ready AI features (LLM applications, fine-tuning, RAG systems, guardrails, evals, etc.) • Strong full-stack engineering skills with a focus on backend scalability and system reliability • Experience fine-tuning and deploying LLMs • Deep understanding of LLM evaluation methods, including prompt testing, retrieval precision, hallucination detection, and cost/performance tradeoffs • Experience building custom eval pipelines using techniques like model-as-a-judge or embedding similarity • Hands-on work with agentic frameworks (e.g. LangGraph, AutoGen, CrewAI) or custom agent systems • Strong full-stack engineering skills with a focus on scalable systems and adaptability • Clear, concise communicator - essential for our remote, highly collaborative team • Proactive and ownership-driven - comfortable navigating ambiguity and shifting priorities • Customer-focused mindset with a drive to build solutions that solve real problems • Experience with AI/ML tools or APIs; bonus if you’ve worked with Python-based RAG, voice agents, or AI task automation.

🏖️ Benefits

• Offers Equity