Senior Software Engineer building and optimizing enterprise search infrastructure with LLMs, RAG, semantic search, embeddings, NLP query understanding, and ranking algorithms for Otter.ai's AI meeting tools. Requires Master's in CS, 5+ years in search/recommendation/QA systems, and Python/C++ expertise.
185k – 230k/yr
Remote5+ YOEML Engineering
About the role
Responsibilities
Design, develop, and oversee enterprise search infrastructure using vector databases, full-text search engines, and relational database techniques.
Develop deep learning-based NLP algorithms to understand user information needs, analyze, reformulate, and suggest search queries.
Design, implement, and deploy ranking algorithms to deliver the most relevant results and best user experience.
Evaluate and optimize algorithm accuracy focusing on key metrics.
Track and analyze end-to-end system performance, leading improvement initiatives.
Stay informed about latest industry developments and emerging technologies to advance the search system.
Requirements
Master's degree in Computer Science or relevant field (PhD a plus).
5+ years of experience in search, recommendation, or question answering systems.
In-depth knowledge of relevance measurement, tuning, and modeling.
Engineering experience with large language models and RAG systems.
Expertise in Python and/or C++.
Exceptional problem-solving skills with meticulous attention to detail.
Outstanding communication skills to explain complex concepts to non-technical team members.
Ability to contribute individually and function effectively as part of a team.
Build and improve AI agent experiences and conversational knowledge engine for Otter AI Chat. Focus on quality evaluation, infrastructure for orchestration/tracing, diagnosing failures across the stack, and driving measurable improvements in task completion, reliability, and cost. Requires 5+ years AI/ML engineering, strong backend/distributed systems skills, and experience shipping LLM-powered products.
185k – 230k/yr
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