Principal Engineer, Core Product
Core
Architect and execute production agent and ML infrastructure for an engine that reasons over unstructured customer feedback to generate structured product intelligence.
Role type
Principal Engineer, Core Product (AI-native, agentic systems)
Builds
Wisdom and Agents engine, Applications, Context/Contact Graph
Domain
AI/ML, Agentic Systems, Natural Language Processing, Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
distributed systems architecture, agent systems design, ML engineering, MLOps, frontend/BFF architecture, technical leadership, trade-off analysis, stakeholder management
Preferred skills
experience with LLMs, applied ML, production-scale AI systems
Technologies
LLMs, agent frameworks, ML platforms, serverless computing
Responsibilities
Own architecture for agent-driven reasoning engines and data graphs; convert product direction into phased technical plans; define responsibility boundaries across frontend, backend, and ML platforms; review design docs and implementation approaches; drive unblock planning while mentoring senior engineers; partner with Product, Design, and GTM to clarify complex problem statements.
Seniority
Principal, hands-on IC with strategic influence
