Mixpanel is seeking a Software Engineer to join the AI Platform team. You will be responsible for building the scalable, secure, and reliable infrastructure that accelerates AI agent development. You will be a leader and key contributor in a small, fast-paced, newly formed team with a mandate to empower AI development across the company. Responsibilities include Platform Architecture: design and develop core backend services, APIs, and microservices enabling product teams to securely leverage AI models. Agent Orchestration: build scalable frameworks and tools to support multi-step agent workflows, including task decomposition, tool invocation, and persistent memory. Evaluation & Reliability: build evaluation systems to continuously measure reasoning quality, hallucination rates, and task success. Operational Excellence: architect high-performance serving infrastructure with strict guarantees around latency, throughput, cost-efficiency, and error handling. Observability & MLOps: ensure comprehensive monitoring, structured logging, and distributed tracing across all deployed AI models. Collaboration: partner with designers, product managers, and other engineers to build self-serve infrastructure that transforms our AI development cycle. Leadership: advocate for software engineering best practices, conduct thorough design and code reviews, and mentor junior engineers. Qualifications include Bachelor's degree in Computer Science, Mathematics, or related field, or equivalent practical experience; 2+ years of professional software engineering experience; strong full-stack fundame

Mixpanel is seeking a Software Engineer to join the AI Platform team. You will be responsible for building the scalable, secure, and reliable infrastructure that accelerates AI agent development. You will be a leader and key contributor in a small, fast-paced, newly formed team with a mandate to empower AI development across the company. Responsibilities include Platform Architecture: design and develop core backend services, APIs, and microservices enabling product teams to securely leverage AI models. Agent Orchestration: build scalable frameworks and tools to support multi-step agent workflows, including task decomposition, tool invocation, and persistent memory. Evaluation & Reliability: build evaluation systems to continuously measure reasoning quality, hallucination rates, and task success. Operational Excellence: architect high-performance serving infrastructure with strict guarantees around latency, throughput, cost-efficiency, and error handling. Observability & MLOps: ensure comprehensive monitoring, structured logging, and distributed tracing across all deployed AI models. Collaboration: partner with designers, product managers, and other engineers to build self-serve infrastructure that transforms our AI development cycle. Leadership: advocate for software engineering best practices, conduct thorough design and code reviews, and mentor junior engineers. Qualifications include Bachelor's degree in Computer Science, Mathematics, or related field, or equivalent practical experience; 2+ years of professional software engineering experience; strong full-stack fundame