Senior AI Platform Engineer — Self-Serve Infra

LightBox Employer; Irvine (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

LightBox Employer is seeking a Senior Engineer - AI Platform to build self-service infrastructure and developer-facing tooling for AI capabilities. You will work across MCP servers, API gateways, and internal tools to enable reliable model composition, deployment, and consumption by internal teams and partners.

You'll collaborate with ML engineers on model serving, design scalable platform components, and contribute to architecture decisions, all while owning features end-to-end from design to

Qualifications

• 6+ years of software engineering experience with a strong full-stack foundation.
• Production experience building APIs, microservices, and platform infrastructure.
• Familiarity with LLM integration patterns and AI workflows.

Responsibilities

• Design and implement API gateways and service infrastructure for CRE models.
• Develop internal tooling and dashboards to accelerate AI feature delivery.
• Implement integration patterns for embedding AI into existing workflows.
• Build observability and monitoring for AI workloads, including latency and cost analytics.
• Improve knowledge retrieval and caching for accuracy and performance at scale.
• Collaborate with ML engineers on model serving and production deployment.
• Participate in architecture decisions and technical design reviews.

Skills

Full-stack engineering

APIs & microservices

Python

TypeScript/Node.js

Cloud infrastructure

Docker

Kubernetes

CI/CD

LLM integration

Distributed systems

API design

Tools

LiteLLM

OpenRoute

AWS BedRock

Job description

LightBox Employer is seeking a Senior Engineer - AI Platform to build self-service infrastructure and developer-facing tooling for AI capabilities. You will work across MCP servers, API gateways, and internal tools to enable reliable model composition, deployment, and consumption by internal teams and partners.

You'll collaborate with ML engineers on model serving, design scalable platform components, and contribute to architecture decisions, all while owning features end-to-end from design to