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64 Appfolio Quality Assurance Engineer Jobs Hiring Near You

AppFolio

Sr. Machine Learning Engineer

Columbus, OH · On-site

$100K - $138K/yr

Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a ... Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and ...

New

AppFolio

Sr. Machine Learning Engineer

Columbus, OH

$100K - $138K/yr

Hi, We're AppFolio We're innovators, changemakers, and collaborators. We're more than just a ... Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and ...

New

Enterprise Engineering

QA Engineer

Manhattan, NY · On-site

QA Engineer New York, NY 3 days a week onsite work Client in NYC is looking for a Traditional QA Engineer. Core Focus Areas: * Manual Regression Testing: Verifying that new code deployments or ...

Amicis Global

QA Engineer

Seattle, WA · On-site

Title: Web Quality Assurance Engineer (Multiple Positions) Location: Seattle, WA (Onsite) Duration: 6+ Months Key job responsibilities * You'll build and maintain test infrastructure for a web ...

LanceSoft

Quality Assurance Engineer

Raleigh, NC · On-site

NC FAST requires the services of a Quality Assurance Engineer to drive the planning, development, and implementation of testing activities to ensure the application meets functional, performance, and ...

NAVA Software Solutions

QA Engineer

Houston, TX · On-site

NAVA Software solutions is looking for a QA Engineer Details: QA Engineer Location: Houston, TX (2-3 days Onsite) Duration: 6-12 months Client is looking for a QA having strong exp in SQL / for BI ...

Rectangle Health

QA Engineer

White Plains, NY

$90K - $115K/yr

QA Engineer At Rectangle Health, we believe that our team members are our most important asset. We grow our team by hiring best-in-class talent. We encourage all employees to contribute their ...

Rectangle Health

QA Engineer

White Plains, NY · On-site

$90K - $115K/yr

QA Engineer At Rectangle Health, we believe that our team members are our most important asset. We grow our team by hiring best-in-class talent. We encourage all employees to contribute their ...

LanceSoft

Quality Assurance Engineer

Raleigh, NC · On-site

NC FAST requires the services of a Quality Assurance Engineer to drive the planning, development, and implementation of testing activities to ensure the application meets functional, performance, and ...

ProScore Technologies

QA Engineer

Fort Lauderdale, FL · On-site

QA Engineer - Job Profile Location: Fort Lauderdale, FL We are seeking a QA Engineer to join our team and ensure the quality, reliability, and performance of our SaaS platform. This role requires ...

Lancesoft

Quality Assurance Engineer

Raleigh, NC · On-site

NC FAST requires the services of a Quality Assurance Engineer to drive the planning, development, and implementation of testing activities to ensure the application meets functional, performance, and ...

Staffingine LLC

QA Engineer

Nashville, TN · On-site

Job Title: QA Engineer Job Location: Nashville, TN Job Type: Contract * 7+ years of experience in Automated QA - TestComplete. * QA testing with AI +ETL

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Infographic showing various Quality Assurance Engineer job openings at Appfolio in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% Physical, 5% Hybrid, and 24% Remote job distribution.

Sr. Machine Learning Engineer

AppFolio

Columbus, OH • On-site

$100K - $138K/yr

Full-time

Posted 3 days ago

New

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

184th of 244 rated software companies

Job description

Hi, We're AppFolio
We're innovators, changemakers, and collaborators. We're more than just a software company — we're building the AI-native platform where the real estate industry comes to do business. We're transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure.
You will work with Product, Voice channel, and ML Platform teams to translate cutting-edge agent and voice research into reliable, low-latency, multi-channel experiences that scale across our entire customer base.
Your Impact
  • Ship Voice & Text Agents: Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.
  • Reasoning vs. Latency: Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
  • Lead a Pod: Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability, and incident response.
  • Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality.
  • Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference optimization for voice latency and cost.
Qualifications
  • You have shipped production AI agents serving real users in voice and/or text channels.
  • You think in pipelines and systems, not just models.
  • You move fast, deliver impact, and maintain sound engineering judgment.
  • You are humble, collaborative, and low-ego, and you elevate those around you.
  • You value work-life balance as a foundation for sustained high performance.
Must Have
  • Agent frameworks: Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
  • Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
  • LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
  • Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.
  • Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
  • ML fundamentals: Solid foundation in deep learning, model evaluation, and inference optimization; able to deploy with Docker on AWS.
  • Leadership: Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Nice to Have
  • Experience fine-tuning Small Language Models for domain-specific voice applications.
  • Familiarity with RAG over structured business data and tool-using agents over API surfaces.
  • Prior experience in regulated or customer-facing industries with strict reliability requirements.
  • Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.
Location
Find out more about our locations by visiting our site. 
All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process.
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: 167,200 - 209,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.
Regular full-time employees are eligible for benefits - see here.

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