# Software Engineer, AI Platform

**Company**: Mixpanel
**Location**: San Francisco, US
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $188,000-$254,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/mixpanel/jobs/8064216?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9c1be199-e76

## Description

We are seeking a driven Software Engineer to join our AI Platform team at Mixpanel. You will be responsible for building scalable, secure, and reliable infrastructure that accelerates AI agent development.

## Responsibilities

- Platform Architecture: Design and develop 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.

## Requirements

- Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience

- 2+ years of professional software engineering experience

- Strong full-stack fundamentals: 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: 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

- Familiarity with techniques used to optimize AI agents: eval frameworks, agent tooling, vector search engines, context engineering, and prompt engineering.

## Compensation and Benefits

- The compensation range for this position is $188,000-$254,000 USD.

- Benefits include comprehensive medical, vision, and dental care, mental wellness benefit, generous vacation policy, enhanced parental leave, volunteer time off, and additional US benefits such as pre-tax benefits including 401(K), wellness benefit, holiday break.

## Skills

### Required
- full-stack development
- AI models
- backend services
- APIs
- microservices
- scalable frameworks
- evaluation systems
- infrastructure architecture
- observability
- MLOps

### Nice to have
- LLMs
- agent orchestration
- vector search engines
- context engineering
- prompt engineering

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/mixpanel/jobs/8064216?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
