AppFolio Careers

Hi, We’re AppFolio

Who We Are Looking For

Your Impact:

• Architect & Lead: Own the technical vision and architecture for AI systems across Realm-X in partnership with senior leadership.
• Scale Intelligent AI Agents: Design and deploy advanced AI Agentic systems that combine reasoning, planning, and execution.
• Improve the Foundation: Establish platform primitives and abstractions to enable context-aware, action-oriented AI that goes beyond simple assistance to true automation. Improve the standards for end-to-end ML systems: data collection, model training, evaluation, deployment, and inference infrastructure.
• Production Excellence: Architect and build scalable, multi-modal, and real-time AI applications, ensuring high-quality deployment standards.
• ML for Real Estate: set the technical foundation for training, fine-tuning, evaluating, and deploying open source LLM and SLM to production for optimizing performance, latency, and cost.

Qualifications

• You think in terms of systems, platforms, and long-term leverage, not just features.
• You’ve built and scaled ML/AI systems in production with meaningful business impact.
• You operate effectively in high ambiguity, turning unclear problems into a clear direction
• You’ve led or influenced large, cross-team technical initiatives.
• You introduce new ideas, architectures, or paradigms—not just implement existing ones.
• You bring a founder / owner-operator mindset: you take ownership, act with urgency, and focus on outcomes.
• You have a strong desire to move fast and deliver impact, while maintaining 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:

• Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (required).
• 10+ years of experience building software systems, with significant focus on ML/AI (or equivalent impact).
• Deep expertise across Traditional Machine Learning, Deep Learning, Generative AI / LLMs (prompting, fine-tuning, RAG, agents, tool, and skills use)
• Strong understanding of the full ML lifecycle: data extraction, model training, evaluation, and deployment. ML models integration in production software.
• You are an expert in Python, PyTorch, Numpy, AWS, Docker, SQL, embeddings, and RAG.
• You have experience with LangChain, LangGraph, and LLM observability tools (LangSmith).
• Experience designing and operating production-grade ML systems at scale
• Proficiency with AI coding tools and workflows (e.g., Copilot, ChatGPT, code generation tools)

Nice to Have:

• Experience with ontology-driven systems, knowledge graphs, or semantic layers
• Experience designing evaluation and benchmarking systems for AI
• Background in distributed systems and real-time architectures
• Experience building platforms used by multiple engineering teams
• Contributions to industry thought leadership (publications, talks, open source, etc.)