Here’s a breakdown of the job posting, extracting key data:
Job Title: AI Software Engineer – Search Infrastructure
Location: Seattle, Washington, United States
Company: (Not explicitly stated in the provided text, but implied to be the entity posting the job)
Summary:
The company is building an AI-native knowledge platform leveraging LLMs for enterprise search, AI assistants, and knowledge revelation. This role focuses on building the scalable, secure, and smart Retrieval-Augmented Generation (RAG) infrastructure that powers these features.
Responsibilities:
* Design and implement a scalable RAG system for real-time Q&A.
* Build ingestion and indexing pipelines for various data sources with permission control.
* Develop APIs and backend systems for efficient querying and retrieval.
* Collaborate with ML/NLP engineers on embedding models and search quality.
* Ensure reliability, low latency, and scalability of the data retrieval stack.
* Monitor system performance and optimize for high-throughput workloads.
Qualifications:
* Bachelor’s degree and 4+ years of experience in backend or distributed systems engineering.
* Productivity mindset with experience using AI tools.
* Experience with large-scale data ingestion pipelines (message queues, vector stores, Temporal, Elasticsearch, etc.).
* Track record of building highly available, multi-tenant backend services.
* Experience with document-level permission modeling and secure data handling.
* proficiency with cloud-native tools (Docker, Kubernetes, AWS).
* Bonus: Experience in Go and integrating with SaaS platforms (Google Workspace, Microsoft 365, slack, etc.).
Salary Range:
* Minimum: $151,800.00
* Maximum: $332,200.00
