Key skills
Machine learning systems developmentPythonGoRubyJavaScriptDistributed systemsAPIsCloud infrastructure AWSCloud infrastructure similarLarge language models (LLMs)AI agentsTool-using systems LangChainTool-using systems LangGraphTool-using systems OpenAI APIsDomain-specific ontologiesKnowledge graphsWorkflow orchestration systems (Temporal)Multi-modal AI systemsTechnical vision alignmentAIMachine LearningLLMOpenAILangChainAgenticLangGraphAWSCommunication
About this role
AppFolio is a technology leader in the real estate industry, focused on building innovative cloud and AI-native platforms. They are seeking a Sr Machine Learning Engineer to define architecture and build next-generation AI systems that enhance product innovation and execution across teams.
Responsibilities:
- Define and drive the technical vision and architecture for AI systems within Realm-X
- Design and build deep, context-aware agents leveraging domain ontologies and structured business primitives
- Lead the development of agentic workflows (Flows) that combine reasoning, planning, and execution
- Architect systems for real-time, multi-modal AI agents (Performers) across communication channels
- Build and evolve platform capabilities (tools, memory, evaluation systems, abstractions) to enable broad internal adoption
- Translate ambiguous, high-impact problems into scalable, production-ready AI systems
- Establish best practices for LLM evaluation, observability, safety, and iteration loops
- Collaborate cross-functionally with product, design, and engineering leaders to shape strategy and execution
- Mentor engineers and raise the technical bar across the organization
- Identify and introduce emerging AI technologies and paradigms that create leverage for the business
Requirements:
- Master's or Ph.D. in Computer Science, Machine Learning, or a related technical field (required)
- Extensive experience developing and deploying machine learning systems in production environments
- Strong software engineering expertise with languages such as Python, Go, Ruby, or JavaScript
- Deep understanding of distributed systems, APIs, and cloud infrastructure (AWS or similar)
- Experience leading large, cross-functional technical initiatives
- Ability to design systems that integrate structured data, models, and real-time decisioning
- Experience with LLMs, AI agents, and tool-using systems (e.g., LangChain, LangGraph, OpenAI APIs)
- Familiarity with agentic architectures, planning/execution loops, and orchestration frameworks
- Experience building domain-specific ontologies, knowledge graphs, or semantic layers evaluation frameworks for AI systems (offline and online)
- Background in workflow orchestration systems (e.g., Temporal)
- Experience building platforms that enable other engineering teams
- Exposure to multi-modal AI systems (voice, chat, email, etc.)