About the job
Join Aizen as a Backend Software Engineer!
At Aizen, we aim to simplify and amplify the power of Artificial Intelligence (AI). Our comprehensive platform efficiently manages the AI pipeline—from data ingestion and orchestration to model training, deployment, and monitoring—allowing businesses to concentrate on what truly counts: creating and scaling exceptional AI solutions without the complexities.
Founded to combat cumbersome AI workflows and disjointed solutions that obstruct AI adoption, Aizen has become the trusted partner for a diverse range of clients, from budding startups to Fortune 500 companies. By revolutionizing the way AI is constructed, deployed, and managed, we are making AI more accessible and impactful than ever before. If you are passionate about developing innovative technologies, tackling real-world challenges, and collaborating with a world-class engineering team, we would love to connect with you.
About Our Team
Aizen is built by a group of seasoned entrepreneurs with extensive experience in data storage, distributed systems, and real-time AI architectures. Having previously built and scaled technology companies—some achieving over $1B in exits—our team is well-versed in what it takes to develop a leading product and organization. We have designed Aizen to streamline the AI pipeline, enhance performance, and ensure AI is genuinely accessible to enterprises of all sizes.
About the Role
As a Backend Software Engineer at Aizen, you will play a pivotal role in constructing and refining the infrastructure that underpins our end-to-end AI platform. You will create scalable backend services, APIs, and data processing pipelines, facilitating smooth AI deployment and real-time inference. Whether you are an entry-level engineer eager to learn or a senior engineer prepared to design high-performance distributed systems, this position offers a chance to work on innovative AI infrastructure, enhance backend efficiencies, and shape the future of enterprise AI.
Key Responsibilities
Backend & API Development – Design and enhance scalable backend services and high-performance APIs to support real-time AI applications, model inference, and data orchestration.
Data Processing & Infrastructure – Develop and optimize 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 protocols to guarantee high availability and reliability of systems.

