AI Engineer

Responsibilities

• Design and implement the core backend logic of the context repository
• Build and optimize the sync, turning raw data source data into structured, graph-based context
• Develop high-performance retrieval and ranking, combining hybrid search, rule-based logic, and identity resolution
• Productize complex logic through clean APIs and modular components (MCP, CLI, API, etc.)
• Build evaluation and experimentation frameworks that continuously raise contextual accuracy

Requirements

• Fluency in TypeScript or Python
• Experience with distributed systems and high-complexity logic problems
• Ability to turn research and theory into production-grade product
• Experience in fast-paced, early-stage environments

About the Company

Qontext is building the self-maintaining source of truth for the AI-native company, a context repository that keeps company knowledge structured, up-to-date, permission-aware, and ready for every AI agent.