About the job
Join Aizen as a Backend Software Engineer!
At Aizen, we are dedicated to simplifying and amplifying the power of artificial intelligence. Our comprehensive platform effectively manages the entire AI workflow—from data ingestion and orchestration to model training, deployment, and monitoring—allowing businesses to concentrate on what truly matters: developing and scaling exceptional AI solutions without unnecessary complications.
We established Aizen out of frustration with cumbersome AI processes and fragmented solutions that obstruct AI implementation. Today, we empower a diverse range of clients—from innovative startups to Fortune 500 giants—to effortlessly scale their AI capabilities. By transforming how AI is created, deployed, and overseen, we are making AI more accessible and impactful than ever. If you are passionate about designing innovative technology, addressing real-world challenges, and collaborating with a top-tier engineering team, we would be thrilled to connect with you.
About Our Team
Aizen's founders are a group of seasoned entrepreneurs with extensive backgrounds in data storage, distributed systems, and real-time AI architecture. With a proven track record of building and scaling technology companies—some of which achieved successful exits over $1 billion—our team possesses the insight necessary to develop a leading product and organization. We have carefully crafted Aizen to streamline the AI pipeline, enhance performance, and make AI genuinely accessible to enterprises of all sizes.
Your Role
As a Backend Engineer at Aizen, you will play a pivotal role in constructing and optimizing the infrastructure that drives our all-encompassing AI platform. You will design scalable backend services, APIs, and data processing pipelines that facilitate smooth AI deployment and real-time inference. Whether you are a junior engineer eager to learn or a seasoned professional ready to design high-performance distributed systems, this role presents an exciting opportunity to work on cutting-edge AI infrastructure, enhance backend efficiencies, and shape the future of enterprise AI.
Key Responsibilities
Backend & API Development – Create and refine scalable backend services and high-performance APIs to support real-time AI applications, model inference, and data orchestration.
Data Processing & Infrastructure – Develop and enhance large-scale data pipelines, ETL processes, and storage solutions, ensuring seamless integration between AI workflows and backend systems.
System Performance & Reliability – Establish monitoring, logging, and incident response frameworks to maintain high availability and performance standards across systems.

