Software Engineer, General

About aion Aion is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, Aion takes them from concept to production on a single, unified platform. We work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters. We’re a fast-growing, VC-backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India, we’re building the next generation of enterprise AI and we’re looking for exceptional people to help us scale. Who You Are You're a solid engineer with 2-4 years of experience building backend systems and platform infrastructure. You write clean, well-abstracted code with proper design patterns and comprehensive test coverage. You're comfortable working on both the Compute Platform (multi-cloud orchestration, resource management) and Inference Platform (model serving, autoscaling) under the guidance of senior engineers and platform leads. You have strong proficiency in Golang and understand how to build maintainable, production-grade distributed systems. You take pride in code quality, enjoy collaborating on low-level designs, and are eager to learn from experienced engineers while contributing meaningfully to critical infrastructure components. You're product-minded, you understand how your technical decisions impact developers using aion's platform and think about the end-to-end user experience. You're a team player comfortable wearing multiple hats one day you're building product features, the next you're joining customer calls to understand their deployment challenges, and the day after you're helping with UI/UX, customer success, documentation and product ops. What You'll Do Platform Development & Implementation Build and maintain platform services across aion's Compute and Inference platforms, working closely with senior engineers and platform leads Implement features for multi-cloud orchestration, resource scheduling, model deployment pipelines, and autoscaling systems Write well-maintained, production-grade code with proper abstractions, design patterns, and comprehensive test coverage Contribute to low-level design (LLD) including service APIs, database schema design, data models, and component interactions Collaborate with senior engineers on high-level design discussions, providing implementation perspectives and feasibility inputs Backend Systems & Distributed Infrastructure Develop RESTful APIs and gRPC services for platform control planes, resource management, and inference serving Design and implement database schemas for storing platform state, resource metadata, billing data, and observability metrics Work with distributed storage systems, message queues (Kafka, RabbitMQ), and databases…