
Senior Software Engineer – Applied AI
Posted Jul 15

Posted Jul 15
This is a fully remote position, open to applicants in Washington.
• Develop and troubleshoot code within a live, real-time voice pipeline where latency and accuracy are critical from the user's perspective.
• Create control systems for LLMs, including guardrails, budgets, watchdogs, and secure fallback mechanisms.
• Construct and manage LLM evaluation and batch-analysis pipelines.
• Oversee traditional ML workflows from data acquisition to scheduled production inference.
• Investigate production issues from metric anomalies to their root causes, including compiling evidence when the issue is vendor-related.
• A minimum of 7 years of experience in building and managing production backend systems, with proficient general-purpose programming skills (primarily in Python).
• Proven experience in operating distributed systems in the cloud; adept at debugging from telemetry to root cause analysis.
• Practical experience in production with LLMs or generative AI (regardless of provider or framework), along with the discernment to know when a model should not be employed.
• Familiarity with the entire traditional machine learning lifecycle (you execute productionization; publication is not required).
• Methodical approach in a regulated environment: small, reviewable changes and meticulous management of sensitive data.
• Health insurance
• Professional development opportunities
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