Senior Software Engineer, AI Platform

About the Team

The AI Platform team is a newly formed team at the center of Mixpanel's AI-first analytics vision. With a greenfield charter, we're building the infrastructure that accelerates and transforms AI product development at Mixpanel, both internally and for our customers. 

We provide the tools to improve AI products, enabling internal teams and customer agents to build things that were previously unimaginable.  We build shared infrastructure that is essential for developing AI features with confidence and speed, and that gives every agent the tools, context, and quality guarantees to act autonomously on behalf of users.

Some examples of what we are building:

• Agent Optimization Framework: A measurement and tuning system for Mixpanel AI that uses evals and metrics from production to optimize for speed, quality, and cost across a wide range of use cases.
• AI Agent Integrations and Accessibility: Products and tools that bring the power of Mixpanel to wherever it is most effective for our customers, including a Mixpanel slackbot and a public skills library.
• Automatic Generation of AI Inputs: Infrastructure to provide input to LLMs (e.g. context windows) with relevant customer and behavioral data that elevates agent performance.

Role Overview

We are looking for an experienced and driven Senior Software Engineer to join our 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

• Platform Architecture: Design and develop the core backend services, APIs, and microservices that enable product teams to easily and 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 robust 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.

We're Looking For Someone Who Has

• Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience
• 5+ years of professional software engineering experience
• Strong full-stack fundamentals: you're comfortable working across frontend, backend, and data layers
• Excellent debugging and technical investigation skills
• Strong technical communication, ideally with experience collaborating in an asynchronous remote environment
• Ability to move fast and iterate in ambiguous environments: you take ownership and focus on delivering value to users
• Hands on experience integrating and orchestrating LLMs and agents
• Experience building AI native systems, including iteratively improving and scaling them in production
• A desire to be on the forefront of leveraging AI to drive product improvement, observability and product analytics at scale.