AI Engineer

About the RoleYoull join the team that owns AIDRs core reasoning engine the multi-agent layer that turns telemetry from 70+ security vendors into investigated, correlated conclusions an analyst can act on. Youll design the agent architectures, run the experiments that decide which ones ship, and take them into production environments where SOC teams depend on the output. Success is measured in precision, recall, latency, and cost, not demo quality.That standard shapes how we work:Accuracy and honesty. Were clear about what weve measured versus whats still a hypothesis. We expect the same of your results including when one doesnt hold up.Research into production. We move new research into the product quickly, then validate it against operational standards rather than demo conditions.Measure, then decide. We experiment in small increments and make calls from metrics, not intuition.In practice, youll spend as much time building the evaluation harnesses that tell us whether an agent is good as you will building the agent itself. If you want to work on LLM systems where is it good? has a number attached, this is that role.What youll doBuild 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 whats 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.Minimum QualificationsHands-on experience designing and building LLM applications (agents, RAG, orchestration, etc.)Strong software engineering fundamentals in PythonExperience building LLM workflows with various agent frameworksExperience evaluating and improving LLM output quality, both qualitatively and quantitatively a real instinct for measurement, not just implementationComfort defining ambiguous problems, experimenting quickly, and making decisions from dataPreferred QualificationsSecurity domain knowledge (SOC / SIEM / SOAR, threat intelligence, incident response, etc.)Experience designing evaluations/benchmarks, or an ML research background (publications, open source contributions, etc.)Experience operating production LLM systems (monitoring, cost optimization, latency management)Experience deploying production systems across cloud environmentsDetailsPosition: AI EngineerExperience: 2+ yearsEmployment type: Full-timeLocation: Greater Seattle AreaCipherData is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
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