Software Engineer, Agent Platform

As an AI Engineer, you’ll own model-driven behavior in production systems, working across product, infrastructure, and evaluation layers. Your work will directly shape what users experience—and how confidently the team can ship. You might:

• Own the behavior of AI-powered features across multiple product surfaces, including quality, safety, variance, and failure modes
• Design and evolve prompting, retrieval, routing, and tool-use strategies that embrace non-determinism while bounding its downside
• Build and maintain evaluation systems that measure model performance using statistical signals, distributions, and trends—not just pass/fail tests.
• Detect, diagnose, and resolve non-deterministic failures such as hallucinations, partial correctness, instruction drift, or sensitivity to context changes.
• Define and implement guardrails, fallbacks, and degradation paths that keep systems useful even when models behave unexpectedly.
• Partner with product and infra teams to decide when probabilistic behavior is “good enough” to ship—and when it isn’t.
• Influence model selection, model behavior, and tool design to balance quality, cost, latency, and robustness for real user workflows.