Orchestration Engineer

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.

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.

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.
• Conduct thorough code reviews while driving engineering standards across orchestration services.
• Collaborate closely with product, AI engineering, infrastructure, and customer success teams to continuously improve platform capabilities.
• Mentor engineers and contribute to architectural decisions that shape Aion's orchestration platform.

• 4+ years of experience building backend systems, distributed platforms, workflow orchestration engines, or cloud-native infrastructure.
• Strong proficiency in Golang is preferred; Python or Rust experience is a plus.
• Deep understanding of distributed systems, asynchronous processing, event-driven architectures, and microservices.
• Experience with Kubernetes, Docker, and cloud-native infrastructure.
• Familiarity with workflow orchestration frameworks such as Temporal, Argo Workflows, Airflow, Dagster, Prefect, or similar platforms.
• Experience building APIs, SDKs, and control plane services.
• Strong understanding of scheduling algorithms, dependency management, retries, checkpointing, and workflow execution models.
• Experience with message brokers including Kafka, RabbitMQ, NATS, or similar technologies.
• Familiarity with databases including PostgreSQL, Redis, and distributed storage systems.
• Experience implementing observability using Prometheus, Grafana, OpenTelemetry, and distributed tracing.
• Understanding of authentication, authorization, secrets management, and enterprise security best practices.
• Exposure to AI infrastructure, LLM pipelines, agent orchestration, or model deployment workflows is highly desirable.

• AI Workflow Automation: Experience orchestrating LLM pipelines, multi-agent systems, Retrieval-Augmented Generation (RAG) workflows, or autonomous AI applications.
• Cloud & Platform Engineering: Experience with AWS, Azure, GCP, Infrastructure-as-Code (Terraform), Kubernetes Operators, or platform engineering.
• Enterprise Integrations: Experience integrating enterprise applications including CRMs, ERPs, identity providers, messaging systems, and SaaS platforms.
• Developer Platforms: Experience building Internal Developer Platforms (IDPs), platform tooling, CLI utilities, SDKs, or developer productivity systems.
• Systems Programming: Experience building control planes, schedulers, operators, distributed coordination services, or large-scale automation systems.

• Founder-level ownership and bias for action.
• Strong strategic thinking and ability to connect technical decisions to business impact.
• Excellent communication and mentoring skills.
• Thrives in ambiguity, fast-paced environments, and early-stage startup culture.

• Work directly with high-pedigree founders shaping technical and product strategy.
• Build infrastructure powering the future of AI compute globally.
• Significant ownership and impact with equity reflective of your contributions.
• Competitive compensation, flexible work options, and wellness benefits.