Everyday AI Platform: aion collapses the entire ai development lifecycle into a single, unified workspace.
From data to deployment - everything at your fingertips.
aion simplifies AI infrastructure the way Stripe simplified payments:
Plug-and-Play Multi-Provider Access
Customer Infrastructure Management
Deploy and optimize AI infrastructure via prompts with integrated cost tracking and performance analytics
Partner Sales & Resource Optimization
Track opportunities with confidential pricing, manage real-time inventory allocation, and monitor profitability from aion workloads

aion

full-stack-engineer

aion is the first truly on-demand infrastructure platform for AI builders, providing instant, scalable compute with true on-demand GPUs. The platform simplifies the AI development process by integrating data management, model training, and deployment into one seamless workspace, eliminating delays caused by compute bottlenecks. With a vertically integrated approach to hardware and services, aion aims to empower AI innovators with reliable access to resources, fair pricing, and absolute transparency without commitments or hidden costs.

Everyday AI Platform: aion collapses the entire ai development lifecycle into a single, unified workspace. From data to deployment - everything at your fingertips. aion simplifies AI infrastructure the way Stripe simplified payments:

Plug-and-Play Multi-Provider Access
Customer Infrastructure Management
Deploy and optimize AI infrastructure via prompts with integrated cost tracking and performance analytics
Partner Sales & Resource Optimization

Track opportunities with confidential pricing, manage real-time inventory allocation, and monitor profitability from aion workloads

• Design and architect AION's multi-cloud compute platform, building abstraction layers that unify diverse cloud providers (AWS, GCP, Azure, bare-metal data centers)
• Work directly with cloud providers to expand AION's compute pool—understanding pricing, availability zones, GPU types, and capacity planning
• Build and maintain the AION managed services
• Understand and abstract cloud provider differences in storage (block, object, file systems), networking (VPCs, subnets, security groups), and compute resources
• Design composable platform components that enable forward deployments and promote reusability across AION's infrastructure stack
• Own end-to-end development of managed services on the compute platform—from design and architecture through execution and production monitoring
• Build scalable orchestration systems for GPU workloads, container scheduling, and resource allocation
• Develop robust APIs and control planes for compute lifecycle management (provisioning, scaling, termination)
• Lead technical discussions on platform reliability, performance optimization, and cost efficiency
• Execute on peripheral platform services including billing systems, usage accounting, observability infrastructure, and compliance tooling
• Build monitoring and telemetry systems for compute utilization, cost tracking, and performance metrics
• Establish engineering standards for platform development including code reviews, quality gates, and testing practices
• Mentor engineers on infrastructure best practices and distributed systems design

Senior Software Engineer, Compute Platform

Senior Software Engineer building AI inference systems for AION's multi-cloud compute platform. Leading design and development of scalable managed services and orchestration systems for GPU workloads.

• 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
• 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 (PostgreSQL, Redis) to build reliable platform components
• Build event-driven architectures for asynchronous processing, job scheduling, and platform automation
• Implement monitoring, logging, and alerting for platform services to ensure production reliability
• Write comprehensive unit tests, integration tests, and end-to-end tests to ensure code reliability
• Participate in code reviews, providing constructive feedback and learning from senior engineers' perspectives
• Refactor existing code to improve maintainability, performance, and scalability
• Document design decisions, API specifications, and operational runbooks for platform services
• Debug production issues and contribute to incident response and post-mortems

Software Engineer

Software Engineer developing backend services for AION's AI cloud platform. Collaborating with teams to implement high-performance, scalable distributed systems in a hybrid work environment.

machine-learning-engineer

- Customer Engagement & Multimodal Agent Development
- Work directly at customer sites—from factory floors to executive offices—conducting discovery workshops and technical assessments to identify high-impact AI opportunities
- Design and architect end-to-end multimodal agent systems
- Build production-grade voice AI systems
- Develop vision-enabled agents processing real-time video streams
- Implement sophisticated multi-agent orchestration
- Rapidly prototype POCs
- Optimize for sub-500ms latency
- Integrate agents directly into customer codebases
- Act as trusted technical advisor to customers

- Data Strategy & MLOps Infrastructure
- Design data architectures
- Implement RAG systems
- Prepare and validate datasets
- Work with other MLEs, MLOps, SREs to carry out model deployment

- Observability, Evaluation & Production Operations
- Implement LLM and agents observability and monitoring
- Instrument applications
- Build evaluation frameworks

Forward Deployed ML Engineer, Agents

AI Engineer building multimodal AI systems and LLM applications at AION. Working directly with clients to develop and deploy intelligent agent solutions in hybrid environments.

• Design AION as a composable platform with independently deployable components that run seamlessly on AWS, GCP, Azure, and private data centers
• Work with senior engineering leads to define private deployment strategies and build automation for customer VPC and on-premises installations
• Build abstraction layers that unify diverse cloud providers while maintaining flexibility for customer-specific requirements
• Design globally distributed deployment patterns with built-in data sovereignty, compliance, and regulatory requirements
• Own end-to-end platform deployment automation using Terraform, Ansible, Helm, and infrastructure-as-code across hybrid cloud environments
• Design and implement disaster recovery, failover, high-availability architectures, and cloud migration strategies for customer deployments
• Build comprehensive CI/CD pipelines for infrastructure provisioning, configuration management, and deployment orchestration
• Implement monitoring, observability (Prometheus, Grafana, Loki), and alerting systems tailored for customer-managed AION instances
• Implement Kubernetes-based and custom orchestrator-based managed services with strict workload isolation and multi-tenancy
• Design container security, runtime protection, network policies, and secrets management for production workloads
• Own compliance implementation (SOC2, GDPR, HIPAA, ISO 27001, PCI-DSS) and security best practices for customer environments
• Create deployment blueprints, reference architectures, self-service portals, and comprehensive documentation for customer success


Senior Software Engineer, Infrastructure – Deployments

Senior Software Engineer focusing on complex infrastructure deployment for AION's AI cloud platform. Managing multi-cloud deployment strategies and ensuring compliance across customer environments.

Everyday AI Platform: aion collapses the entire ai development lifecycle into a single, unified workspace. From data to deployment - everything at your fingertips. aion simplifies AI infrastructure the way Stripe simplified payments: Plug-and-Play Multi-Provider Access Customer Infrastructure Management Deploy and optimize AI infrastructure via prompts with integrated cost tracking and performance analytics Partner Sales & Resource Optimization Track opportunities with confidential pricing, manage real-time inventory allocation, and monitor profitability from aion workloads

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Senior Software Engineer, Compute Platform

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Software Engineer

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Forward Deployed ML Engineer, Agents

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Senior Software Engineer, Infrastructure – Deployments

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