Senior Engineering Manager, Conversational AI & Knowledge Intelligence

What you'll do

• Set technical vision, architecture, and execution strategy for the Conversational AI and Knowledge Intelligence platform.
• Lead engineering and research across RAG, knowledge pipelines, conversational reasoning, grounding, ranking, and LLM inference optimization.
• Build and mentor engineering leaders and teams, and coordinate cross-functional delivery of multi-year roadmaps.

What they ask for

• MS or Ph.D. in a related technical field.
• 8+ years leading large-scale engineering and machine learning organizations delivering production AI products.
• Deep experience building conversational AI, search, question answering, knowledge systems, recommendation systems, or large-scale information retrieval platforms.
• Strong technical expertise in LLMs, RAG, NLP, and distributed systems.

Nice to have

• Expertise in modern LLM architectures, agentic AI, retrieval systems, semantic search, vector databases, embedding models, knowledge graphs, or retrieval and ranking systems.
• Experience in LLM post-training, RLHF/RLAIF, reward modeling, knowledge pipelines, or large-scale AI deployment.

Pay

$254,400 and $381,600 USD base salary; $267,800 and $401,700 USD base salary

Tools

LLMs, Retrieval-Augmented Generation (RAG), NLP, distributed systems, Private Cloud Compute, Core ML, Apple silicon

AI focus

Leads development of conversational AI, world-knowledge question answering, RAG, knowledge pipelines, LLM reasoning, grounding, hallucination mitigation, and optimized on-device and server-side inference.