Senior AI Platform Engineer — Scalable ML Infra

Adobe Inc.; Seattle (WA); On-site; USD 166,000 - 240,000; Full time

Job summary

Adobe Express is seeking an experienced engineer to build and scale the AI infrastructure behind AI-powered experiences, including Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. You will contribute to model integration, inference services, data pipelines, storage and caching, analytics, and evaluation tooling.

You will work with experienced engineers to develop core platform components and backend services, enabling reliable, scalable AI capabilities across Adobe Express.

Qualifications

• 5+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
• Strong understanding of distributed systems and scalable design.
• Exposure to ML systems or LLM-based applications is a plus.

Responsibilities

• Develop core platform components for AI experiences in Adobe Express.
• Build backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
• Develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
• Support runtime systems for inference and orchestration with reliability, observability, and performance.
• Work on storage, caching, and data-access patterns to improve efficiency and cost.
• Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities.
• Participate in debugging, testing, monitoring, and operational improvements for AI platform services

Skills

Distributed systems

Backend services

Imaging models

APIs & data pipelines

Python

Typescript

C++

Go

Cloud environments

ML systems

Education

Bachelor's degree in CS or related field

Tools

Kafka

Spark

Flink

LLMs

Job description

Adobe Express is seeking an experienced engineer to build and scale the AI infrastructure behind AI-powered experiences, including Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. You will contribute to model integration, inference services, data pipelines, storage and caching, analytics, and evaluation tooling.

You will work with experienced engineers to develop core platform components and backend services, enabling reliable, scalable AI capabilities across Adobe Express.