Orchestration Engineer

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 an engineer passionate about building intelligent orchestration systems that automate complex AI workflows across distributed infrastructure. You understand that AI applications require more than model inference—they need seamless coordination across data pipelines, compute resources, agents, APIs, and production environments.

You have experience building workflow orchestration platforms, distributed execution systems, or automation frameworks that scale reliably. You're comfortable working across Kubernetes, cloud infrastructure, containers, and event-driven systems while optimizing execution efficiency, resiliency, and developer experience.

You're product-minded and understand that orchestration is the control plane powering enterprise AI. You think beyond infrastructure, designing systems that simplify deployment, improve reliability, and accelerate customer outcomes.

You're equally comfortable designing platform architecture, optimizing execution engines, debugging distributed workflows, and collaborating with customers to understand real-world orchestration challenges.

What You'll Do

Workflow Orchestration Platform

• Design and build Aion's orchestration platform for executing enterprise AI workflows across distributed infrastructure
• Develop scalable workflow engines capable of coordinating AI pipelines, agents, APIs, data processing, and infrastructure services
• Build modular orchestration services that support complex dependency management, retries, scheduling, and event-driven execution
• Architect orchestration primitives that enable reusable, configurable, and production-ready AI workflows

Execution Engine & Infrastructure

• Build highly reliable execution engines capable of coordinating workloads across Kubernetes, containers, serverless environments, and cloud infrastructure
• Design intelligent scheduling mechanisms that optimize execution order, resource utilization, and workflow throughput
• Implement fault-tolerant orchestration with automatic retries, checkpointing, rollback strategies, and failure recovery
• Optimize workflow execution latency while maintaining scalability and operational efficiency

Distributed Systems & Platform Reliability

• Build resilient distributed systems that coordinate services across multiple compute environments
• Design scalable control planes supporting thousands of concurrent workflow executions
• Implement event-driven architectures using queues, messaging systems, and asynchronous execution models
• Improve platform reliability through intelligent resource management and orchestration policies

Developer Experience & Platform Integrations

• Build intuitive APIs and SDKs that enable developers to define, deploy, and manage workflows with minimal complexity
• Integrate orchestration capabilities with model serving platforms, vector databases, APIs, CI/CD pipelines, and enterprise systems
• Design reusable connectors for cloud services, databases, messaging systems, and third-party enterprise applications
• Improve observability across workflow execution through comprehensive logging, tracing, and monitoring

Engineering Excellence

Establish best practices for workflow reliability, testing, documentation, and platform maintainability.