Senior AI Engineer - Multi-Agent LLM for Threat Detection

CipherData; Bellevue (WA); Hybrid; USD 140,000 - 230,000; Full time

Job summary

CipherData in Bellevue, WA is hiring for an engineer to design and build the core multi-agent LLM system that turns telemetry from security vendors into actionable insights. You’ll shape architectures and run experiments to decide which agents ship, deploying into production where SOC teams rely on the outputs.

You’ll focus on evaluation, cost, latency, and precision, building orchestration, pipelines, and learning loops that push automation beyond detection into proactive response, with a bias

Qualifications

• Hands-on experience designing and building LLM applications (agents, RAG, orchestration, etc.)
• Strong software engineering fundamentals in Python
• Experience building LLM workflows with various agent frameworks
• Experience evaluating and improving LLM output quality, both qualitatively and quantitatively — a real instinct for measurement, not just implementation
• Comfort defining ambiguous problems, experimenting quickly, and making decisions from data

Responsibilities

• Build our multi-agent LLM system: Design and improve the core system where multiple LLM agents collaborate to detect, investigate, and correlate threats
• LLM orchestration: Build pipelines that coordinate multiple models against cost, latency, and accuracy trade-offs based on the task
• Evaluation & continuous improvement: Create the evaluation systems that measure agent output quality, and design the loops that feed operational data back as a learning signal
• Reliability: Experiment with and ship prompting, architecture, and verification strategies that reduce hallucination and improve stability and reproducibility
• Build what’s next: Go beyond investigation into automated response, deeper threat correlation, and new product areas that push security operations further — built from the ground up, with you.

Skills

LLM applications

Python

Agent frameworks

Job description

CipherData in Bellevue, WA is hiring for an engineer to design and build the core multi-agent LLM system that turns telemetry from security vendors into actionable insights. You’ll shape architectures and run experiments to decide which agents ship, deploying into production where SOC teams rely on the outputs.

You’ll focus on evaluation, cost, latency, and precision, building orchestration, pipelines, and learning loops that push automation beyond detection into proactive response, with a bias