Senior Engineer, Knowledge Systems
Core
Designing foundational infrastructure for structured knowledge storage, retrieval, and AI integration to support internal tools and product capabilities.
Role type
Senior IC backend engineer (knowledge systems & AI infrastructure)
Builds
Headless CMS platforms, knowledge APIs, and retrieval pipelines for AI assistants
Domain
HR Tech / Knowledge Management / AI Infrastructure
Deliverable
production ML models | infrastructure | product features
Required skills
Systems thinking, API design, structured content modeling, knowledge graph design, RAG architecture, search indexing, cloud infrastructure, autonomous problem solving
Preferred skills
Headless CMS experience, Git-based content workflows, LLM integration, search infrastructure
Technologies
Golang, Ruby on Rails, Javascript, MySQL, Redis, ElasticSearch, Kafka, Temporal, AWS, Docker, Kubernetes, Terraform, CircleCI, DataDog
Responsibilities
Design and build infrastructure for storing, versioning, and retrieving structured knowledge across the organization; Partner with Content Design and Product teams to translate knowledge architecture into technical systems; Develop APIs and services exposing structured knowledge to internal tools and AI assistants; Build integrations between knowledge storage systems and AI tooling including retrieval pipelines and RAG architectures; Establish scalable patterns for content versioning, governance workflows, and structured metadata management
Seniority
Senior, hands-on IC
