Research Engineer

San Francisco, CAfull-timePosted 6mo ago

About the role

A role to lead applied AI efforts focusing on language models, retrieval, and evaluation to enhance enterprise AI agents at Ando.

Own our message tagging system; iterate on it and continually expand the parameters and methods with which we create meta-context around Ando workspaces
Develop a state of the art retrieval system for knowledge search and in-context reasoning
Lead research in query understanding, spanning semantic search, question answering, summarization, and knowledge graph integration
Architect and scale ML infrastructure and evaluation pipelines
Collaborate closely with product and design to define what is possible on the UI-side, and also to observe users and translate messy, human workflows into crisp technical systems
Stay close to cutting-edge research (e.g. you should have read Cartridges, MemGPT, etc) but ship production-ready features that feel magical to users

Experience in applied NLP / IR / ML research (LLMs, semantic search, QA, embeddings, knowledge graphs, etc.)
Comfort working across the stack - from modeling and data to infrastructure and evaluation
Strong sense for product - able to judge not just what’s technically possible, but what makes for an amazing user experience
A “negative maintenance” mindset: self-driven, detail-oriented, poised under pressure, and constantly improving

Required:Applied NLP / IR / ML researchSystem Development and Data Modeling

Last updated Apr 9, 2026. Interested? Apply on the company site.

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