Senior Software Engineer, AI Platform

Mixpanel•San Francisco, CA

3d•$226,000 - $306,000

About The Position

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.

Requirements

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.

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.