Are you ready to be a part of something groundbreaking? Mainstay is the leading market intelligence platform purpose-built for buying, managing, and selling homes in the single-family rental industry. We empower informed decision-making and unlock opportunities for owners, operators, and residents by aggregating and standardizing data from over 50 unique sources. Originally founded within Opendoor, Mainstay launched as an independent company in 2024, driven by our mission to simplify the complex and bring clarity and trust to the single-family rental ecosystem. Join us as we reshape the future of the industry!
What you should expect as a full-stack senior software engineer - maximum agency, tight feedback loops with customers, and no shortage of product challenges that directly translate to business value! You’ll have the opportunity to design, build, and ship complex AI-powered workflow management systems and tools that enable our operations team to execute at scale.
We’re looking for someone who can both fine-tune and optimize models and ship reliable, production ready AI features end to end - from retrieval pipelines and guardrails to backend systems and user facing product experiences.
Our products are built with Python, Typescript, and React on AWS.
In this role, you’ll be responsible for both shaping new AI-powered product experiences and ensuring they’re reliable at scale. That means fine-tuning and optimizing models for our domain, designing retrieval pipelines and guardrails, and building the backend systems that make these features production-ready. You’ll work closely with product managers, designers, and operators to bring AI features from idea to launch, balancing innovation with stability.
In this role, you will:
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
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
Experience working with retrieval-augmented generation (RAG) pipelines
Exposure to building or integrating voice agents
Familiarity with task automation powered by AI
Strong Python background with applied AI or ML workflows
#LI-AW
At Mainstay, trust is at the core of everything we do. We build trust with everyone -- from candidates to employees to partners. We believe in fairness and openness throughout our hiring process, evaluating candidates based on qualifications without regard to race, color, religion, national origin, age, gender, marital status, disability, veteran status, sexual orientation, gender identity, or any other protected status. Our privacy practices describe how we handle applicant information, you can find the policy details for California residents here.
We are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at [email protected]
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Mainstay seeks licensed Missouri real estate professionals to serve as 1099 Flex Agents, completing on-demand property and transaction tasks paid per task.
Experienced Shopify Developer wanted to build pixel-perfect, mobile-first Shopify sites from Figma for a remote-first digital marketing agency.
Design and scale the backend systems and orchestration pipelines that power agentic, high-compute search for Exa’s San Francisco team.
Monarch is hiring a hands-on Infrastructure & MLOps Engineer to build and operate scalable cloud and AI infrastructure that powers their personal finance platform.
Peraton seeks an entry-level Software Engineer (Associate) to develop and maintain Java-based systems and support mission-critical software for national security customers.
Voleon Group seeks a motivated Software Engineer Intern for summer/fall/winter 2026 to build high-performance systems powering machine-learning-driven trading from its Berkeley office.
Lead engineering strategy and execution for Fandango's partner-focused, API-first platforms—driving scalable integrations, AI-enabled features, and SaaS productization across iconic entertainment brands.
Experienced SFCC developer needed to build and maintain PopSockets' ecommerce platform, driving SFRA development, integrations, and mentoring a small team in a remote-first environment.
Senior Fullstack Clojure/ClojureScript engineer (front-end focused) needed to design real-time user experiences and help evolve Ride Health's distributed architecture — fully remote within the U.S.
Vendelux, a Series A event-marketing SaaS, is hiring a Senior AI Engineer to design and ship production-grade AI features that improve how customers discover and measure event ROI.
Sift seeks a hands-on Founding Security Engineer to establish and own security engineering, compliance, and incident detection across cloud and on-prem environments for a high-assurance observability platform.
Early-career software engineer role at Jerry.ai building customer-facing features and backend services across a modern React/Node/TypeScript/AWS stack in the SF Bay Area.
Domino’s is hiring an experienced .NET Application Architect III to architect, implement, and evangelize scalable server-side solutions while mentoring engineers at our Ann Arbor technology center.
Lead the design and implementation of vulnerability management and security engineering solutions at Visa to protect critical payment systems used worldwide.