Description

We’re looking for a Backend Engineer to join our R&D team and play a key role in designing and optimizing scalable backend architecture. If you love solving complex challenges, balancing practicality with innovation, and want to work on cutting-edge AI technology—we’d love to meet you.

About aiOla

aiOla is a deep-tech AI lab specializing in Conversational, Voice, and Speech AI. We build enterprise-grade ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) technologies that power seamless, speech-driven workflows—whether via API integration or intuitive in-house applications.

Our patented ASR foundation model, developed by world-class researchers, delivers 95%+ accuracy across languages, accents, jargon, and acoustic environments. We help enterprises unlock spoken data, improve frontline productivity, and power AI voice agents with robust, scalable technology.

Requirements

3+ years of backend development experience with large-scale, complex systems.
Strong programming skills in Node.js/TypeScript and Python (must-have).
Experience with NestJS, Kafka, SQL, and NoSQL databases.
Familiarity with AWS cloud services (e.g., Lambda, DynamoDB, Kubernetes).
Deep understanding of scalable software design, service-oriented architecture (SOA), and data structures.
Strong analytical and problem-solving skills; performance tuning experience is a plus.
Experience with CI/CD pipelines and modern DevOps practices.
B.Sc. in Computer Science or a related field (preferred).

Responsibilities

Design and develop scalable, high-performance backend systems.
Solve complex architectural and product challenges across the stack.
Work cross-functionally with product, data, and engineering teams to deliver features end-to-end.
Ensure reliability, performance, and scalability using best practices in backend development.