Software Engineer, AI Platform

Mixpanel

Software Engineer developing scalable infrastructure for AI products at Mixpanel. Collaborating with teams to enhance AI development and ensure operational excellence.

Posted 7/14/2026full-timeSan Francisco • California • 🇺🇸 United StatesJuniorMid-Level💰 $174,600 - $213,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Platform Architecture, including the design and development of backend services and APIs, while ensuring operational excellence in AI systems. Proficient in collaborating with cross-functional teams and mentoring junior engineers to uphold software engineering best practices.

Highest-signal resume keywords

Platform ArchitectureAI Native Systems DevelopmentLLM Integration and OrchestrationDebugging and Technical InvestigationTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend DevelopmentAPI DevelopmentMicroservicesFull-Stack FundamentalsEvaluation FrameworksAgent ToolingVector Search EnginesContext EngineeringPrompt Engineering

Soft Skills

CollaborationMentoringOwnershipAdaptability

Tools & Technologies

MLOpsObservability ToolsDistributed TracingStructured Logging

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Mathematics

Industry Keywords

AI ModelsTask DecompositionAgent WorkflowsOperational ExcellenceCost-Efficiency

Tech Stack

Tools & technologies

Microservices

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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: 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
Familiarity with techniques used to optimize AI agents: eval frameworks, agent tooling, vector search engines, context engineering, and prompt engineering.
A desire to be on the forefront of leveraging AI to drive product improvement, observability and product analytics at scale.

Benefits

Comp & perks

Comprehensive Medical, Vision, and Dental Care
Mental Wellness Benefit
Generous Vacation Policy & Additional Company Holidays
Enhanced Parental Leave
Volunteer Time Off
Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break