Software Engineer II - Python
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Agentic AI Innovation: Design and implement autonomous agents using Agent. Core and orchestrate them via Lang. Graph to ensure complex workflows are visible and manageable. MLE Productionization: Partner with Data Scientists to take ML models from research notebooks into scalable, production-ready AWS environments. Constant Research: Proactively research, test, and present the newest technologies, frameworks, and AI research papers to the team. You are expected to be an early adopter of tools that can improve our velocity or service quality. System Architecture: Build and maintain the cloud-native infrastructure (AWS) required for AI/ ML inference and agentic execution, ensuring high availability and cost-efficiency. Observability: Implement deep monitoring and alerting for all services, using Lang. Graph for agent-specific visibility and Splunk for broader system health. Code Quality: Participate in rigorous code reviews and help define the engineering standards for the Data Science t...Software Engineer, Python, Engineer, Software, Technology, Agent