Sr. Machine Learning Engineer

Description

App Folio is building an AI‑powered platform for the real estate industry. We are developing the next generation of our platform with AI at the core, called Realm‑X. This AI platform includes Assistants, Flows, and Performers that embed context‑aware agents across product experiences.

• 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 that combine reasoning, planning, and execution
• Architect systems for real‑time, multi‑modal AI agents across communication channels
• Build and evolve platform capabilities 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

• Think in terms of systems and platforms, not just features
• Track record of building and deploying ML/AI systems in production at scale
• Comfortable operating in high ambiguity and defining direction where none exists
• Ability to lead through influence, aligning multiple teams around a technical vision
• Balance long‑term architecture with pragmatic delivery
• Motivated by high‑impact problems that shape products and business outcomes

• 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 Java Script
• 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., Lang Chain, Lang Graph, OpenAI APIs)
• Familiarity with agentic architectures, planning/execution loops, and orchestration frameworks
• Experience building domain‑specific ontologies, knowledge graphs, or semantic layers
• 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.)

Base pay range: $167,200 – $209,000 annually, plus potential bonuses and total rewards package. Regular full‑time employees are eligible for benefits.