Backend Engineer (Mid) for AI Automation – Hybrid

Cerebras; San Jose (CA); Hybrid; USD 200,000 - 250,000; Full time

Job summary

A leading AI technology firm in San Jose is seeking a Backend Engineer (Mid-Level) to design, build, and maintain backend systems for their AI automation platform. The ideal candidate should have 3–5 years of experience in backend development, particularly in APIs and distributed systems, preferably using Python and frameworks like FastAPI. This role offers competitive compensation ranging from $200K to $250K and follows a hybrid work model.

Qualifications

• 3–5 years of backend development experience with a focus on APIs, distributed systems, or cloud infrastructure.
• Proficient in Python, with experience using FastAPI, SQLAlchemy, or similar frameworks.
• Experience with PostgreSQL/MySQL and data modeling best practices.
• Familiarity with Redis, message queues, and asynchronous processing.
• Understanding of API authentication, security, and scalability principles.
• Strong debugging, testing, and performance optimization skills.

Responsibilities

• Design, develop, and maintain RESTful APIs and backend services using Python.
• Build reliable microservices that support data processing and automation.
• Identify and fix performance bottlenecks in backend code and databases.
• Collaborate with DevOps to deploy and maintain cloud-based services.

Skills

Backend development experience

APIs

Distributed systems

Cloud infrastructure

Python

FastAPI

SQLAlchemy

PostgreSQL/MySQL

Data modeling best practices

Redis

Message queues

Asynchronous processing

Tools

AWS S3

Google Cloud Storage

Azure Blob Storage

Job description

A leading AI technology firm in San Jose is seeking a Backend Engineer (Mid-Level) to design, build, and maintain backend systems for their AI automation platform. The ideal candidate should have 3–5 years of experience in backend development, particularly in APIs and distributed systems, preferably using Python and frameworks like FastAPI. This role offers competitive compensation ranging from $200K to $250K and follows a hybrid work model.