{"schemaVersion":"jobsearcher.job.v1","id":"05f0b1ed7cb0f6ccde0ab935","url":"https://jobsearcher.com/jobs/05f0b1ed7cb0f6ccde0ab935","canonicalUrl":"https://jobsearcher.com/jobs/05f0b1ed7cb0f6ccde0ab935","title":"Sr. Machine Learning Engineer","description":"Overview\nIn this role you will design and ship voice and text AI agents within Realm-X, AppFolio’s AI-native platform for real estate. You will help define production voice and chat agent pipelines, balancing reasoning depth with low latency across large and small models. You’ll lead a pod of ML and platform engineers, shaping agent quality through KPIs and evaluation harnesses. You’ll work closely with Product, Voice, and ML Platform teams to deliver scalable, multi-channel experiences that impact customers at scale. This is an opportunity to advance AI-driven automation in property management.\n\nCompensation / BenefitsTotal Rewards packagehybrid workbenefits for regular full-time employeesgrowth opportunitiescollaborative culturecompetitive compensation\nResponsibilitiesArchitect and ship real-time voice and text agent pipelines for multi-turn interactionsBalance reasoning depth and latency across frontier LLMs and smaller modelsLead a small pod of ML and platform engineers, improving observability and incident responseDefine KPIs, evaluation harnesses, and acceptance criteria for agent qualityOptimize voice latency and cost via selective fine-tuning of small language models (SLMs)Collaborate with Product and Voice teams to ensure high-quality agent experiences\nKey requirementsShipped production AI agents for voice and/or text channelsExperience designing pipelines and systems, not only modelsProven fast delivery with sound engineering judgmentCollaborative, low-ego leadership and ability to uplift team membersValue work-life balance to sustain high performanceMust Have: deep experience with LangChain, LangGraph, LangSmith, LangChain Deep Agents (or equivalents)Voice stack experience with Voice-to-Voice models and traditional TTS/STT pipelines; understanding end-to-end vs modular architecturesStrong LLM fluency in reasoning, tool use, structured output, and latency trade-offsTelephony & cloud experience with Twilio and AWSExpert Python, async programming, and WebSockets for real-time streamingML fundamentals with deep learning, model evaluation, inference; Docker on AWShumilitycollaborationteam leadershipLangChain / LangGraph / LangSmith / LangChain Deep AgentsVoice-to-Voice models, TTS, STTLLM reasoning and tool use","company":"AppFolio","rawCompany":"appfolio","city":"Fort Worth","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-09-15T04:24:52.924Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Machine Learning Engineer","description":"Overview\nIn this role you will design and ship voice and text AI agents within Realm-X, AppFolio’s AI-native platform for real estate. You will help define production voice and chat agent pipelines, balancing reasoning depth with low latency across large and small models. You’ll lead a pod of ML and platform engineers, shaping agent quality through KPIs and evaluation harnesses. You’ll work closely with Product, Voice, and ML Platform teams to deliver scalable, multi-channel experiences that impact customers at scale. This is an opportunity to advance AI-driven automation in property management.\n\nCompensation / BenefitsTotal Rewards packagehybrid workbenefits for regular full-time employeesgrowth opportunitiescollaborative culturecompetitive compensation\nResponsibilitiesArchitect and ship real-time voice and text agent pipelines for multi-turn interactionsBalance reasoning depth and latency across frontier LLMs and smaller modelsLead a small pod of ML and platform engineers, improving observability and incident responseDefine KPIs, evaluation harnesses, and acceptance criteria for agent qualityOptimize voice latency and cost via selective fine-tuning of small language models (SLMs)Collaborate with Product and Voice teams to ensure high-quality agent experiences\nKey requirementsShipped production AI agents for voice and/or text channelsExperience designing pipelines and systems, not only modelsProven fast delivery with sound engineering judgmentCollaborative, low-ego leadership and ability to uplift team membersValue work-life balance to sustain high performanceMust Have: deep experience with LangChain, LangGraph, LangSmith, LangChain Deep Agents (or equivalents)Voice stack experience with Voice-to-Voice models and traditional TTS/STT pipelines; understanding end-to-end vs modular architecturesStrong LLM fluency in reasoning, tool use, structured output, and latency trade-offsTelephony & cloud experience with Twilio and AWSExpert Python, async programming, and WebSockets for real-time streamingML fundamentals with deep learning, model evaluation, inference; Docker on AWShumilitycollaborationteam leadershipLangChain / LangGraph / LangSmith / LangChain Deep AgentsVoice-to-Voice models, TTS, STTLLM reasoning and tool use","datePosted":"2026-09-15T04:24:52.924Z","dateModified":"2026-09-15T04:24:52.924Z","hiringOrganization":{"@type":"Organization","name":"AppFolio","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Worth","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"05f0b1ed7cb0f6ccde0ab935"},"url":"https://jobsearcher.com/jobs/05f0b1ed7cb0f6ccde0ab935"}}