Software Engineer, Context Engine
Core
Build real-time data pipelines, analytics products, and personalization primitives to make AI agents smarter and drive business outcomes.
Role type
Senior full-stack data engineer (AI agents)
Builds
Real-time eventing infrastructure, streaming/batch ETL pipelines, Iceberg-based data lakehouse, interactive OLAP systems, and long-term agent memory systems.
Domain
AI agents, real-time data processing, personalization
Deliverable
production ML models
Required skills
Large-scale data systems design, distributed systems fundamentals, data modeling, data governance, full-stack engineering, ML-powered product features
Preferred skills
Event streaming platforms, modern data visualization libraries, recommender systems, optimization loops
Technologies
Spark, Flink, Trino/Presto, Iceberg, Hudi, Kafka, Kinesis, TypeScript, React, Go, Scala, Python
Responsibilities
Architect and build core platform systems for data at scale with low latency; develop systems for long-term agent memory and CDP primitives; implement optimization loops for personalized interactions; build analytics dashboards and data visualization tools.
Seniority
Senior, hands-on IC
