ML Engineer - Agent Infrastructure
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About The RoleWe're building Monad, our agent runtime that orchestrates complex workflows with memory, reasoning, and tool integration. You'll own critical infrastructure that powers AI systems across clinical research, cybersecurity, and scientific computing.What you'll doBuild and maintain the Monad DAG execution engineImplement trace logging and observability for agent workflowsDesign tool integration patterns for domain-specific capabilitiesOptimize inference latency and throughput for production workloadsWork closely with research to integrate new memory and reasoning capabilitiesRequirements5+ years experience in software engineering, with focus on ML systemsStrong Python skills; experience with async programmingExperience building production ML/AI systems at scaleUnderstanding of LLM inference, tokenization, and promptingFamiliarity with distributed systems and message queuesNice to haveExperience with agent frameworks (LangChain, AutoGPT, etc.)Background in compilers or runtime systemsContributions to open-source ML projects