AI Software Engineer - Search Infrastructure
Core
Building scalable, secure, and intelligent Retrieval-Augmented Generation (RAG) infrastructure for enterprise search, AI assistants, and knowledge discovery.
Role type
Senior IC backend engineer (search infrastructure)
Builds
Real-time document pipelines, vector databases, and permission-aware retrieval systems for internal knowledge platforms.
Domain
Enterprise collaboration tools + AI/LLM infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Backend/distributed systems engineering, large-scale data ingestion pipelines, vector stores, document-level permission modeling, cloud-native tools (Docker, Kubernetes, AWS), Go
Preferred skills
Experience with SaaS platforms (Google Workspace, Microsoft 365, Slack), AI tools productivity
Technologies
Temporal, Elasticsearch, Docker, Kubernetes, AWS, Go
Responsibilities
Designing and implementing scalable RAG systems for real-time Q&A, building ingestion and indexing pipelines for semi-structured data, developing APIs for efficient querying and ranking, collaborating with ML/NLP engineers on embedding models, ensuring reliability and low latency, monitoring system performance.
Seniority
Senior, hands-on IC