Senior AI Engineer
Undisclosed company
SeniorFull-timeAI & ML
Confirmed open at the employer 17 hours ago · Posted 17 hours ago
Requirements
genaillmragpythonjavascalakotlingoagileci/cdkafkasparkopensearchdelta lakeapache iceberg
Nice to have
data science
Job description
As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
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.
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.
Requirements:
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.
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.
This position is open to all candidates.
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