What Youll Do
Responsibilities:
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with our Big Data foundation to ensure real-time context and tenant-safe execution.
B.Sc. in Computer Science, Electrical Engineering, or Mathematics.
Experience in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems.
5+ years expertise with modern backend programming languages such as Python/Java/Scala/Kotlin/Go.
Experience writing code in Agile, CI/CD-based production environments.
Experience working with Big data technologies such as Kafka/Spark/OpenSearch, Parquet/Avro/Delta Lake/Iceberg.
Strong communication and collaboration skills.
Data-engineering, architecture, data-science roles or security domain knowledge are an advantage.
