AI Engineering Manager
Core
Leading engineering teams to build and deliver AI capabilities, real-time data serving infrastructure, and LLM orchestration for intelligent connected home experiences.
Role type
Senior AI Engineering Manager
Builds
Real-time data serving infrastructure, agentic interfaces, LLM orchestration layers, and machine learning pipelines for anomaly detection and customer insights.
Domain
Smart home / IoT / Consumer AI
Deliverable
production ML models | product features | infrastructure
Required skills
Real-time serving infrastructure, LLM orchestration, machine learning pipelines, distributed team management, system design, Python, observability, APM, drift detection
Preferred skills
IoT ecosystems, occupancy modeling, A/B experimentation, CI/CD pipelines, vector search, feature stores
Technologies
Python, LangChain, RAG, OpenSearch, pgvector, ArgoCD, Datadog APM, AWS
Responsibilities
Own end-to-end engineering delivery of real-time data serving infrastructure; Drive engineering reliability and scalability of model serving; Lead engineering delivery of the agentic interface; Own LLM orchestration architecture; Own customer insight modeling pipeline; Lead machine learning pipeline engineering; Manage sprint-cadence delivery across engineering teams; Lead hiring and onboarding of engineers.
Seniority
Senior, hands-on IC leadership
