About Alan AI: At Alan AI, we transform enterprise environments with AI agents that simplify complex workflows through intuitive natural language interactions. Our agents, designed to handle tasks from reasoning and planning to executing API calls, make it easier for users of all skill levels to manage their workflows on both web and mobile interfaces. Our focus is on boosting productivity and enhancing user experience by integrating seamlessly with daily-use applications to amplify the benefits of AI.
In January 2024, Alan AI proudly received endorsement from the US Federal Department of Defense's Chief Digital and Artificial Intelligence Office for direct AI deployments across Federal Agencies. This accolade underscores our unwavering commitment to excellence and security in AI technology. Our platform has also attracted significant interest from numerous enterprise clients, prompting us to expand our hosting options to include both leading Private Cloud solutions and Virtual Private Clouds on leading platforms such as AWS, Azure, and GCP. As of June 2024, we hold a long-term contract as the exclusive AI platform for the largest private cloud software vendor.
Our platform far surpasses competitors' basic RAG-based chatbots and assistants. It features a deeply integrated AI Agent OS with a core reasoning engine customized for specific enterprise workflows. This infrastructure leverages the power of LLMs without being susceptible to the variability typical in LLM responses and offers comprehensive reasoning with visual traceability, making it ideal for various enterprise workflows cutting across multi-vendor applications. Developed over six years with extensive industry feedback, our platform provides unmatched flexibility and adaptability.
Your Role Requirements: As a DevOps Engineer at Alan AI, you play a pivotal role in shaping the future of AI technology. Your primary responsibilities will include:
- Cloud Platform Expertise: Mastery of cloud services and infrastructure, particularly those relevant to our stack on AWS (Azure or Google Cloud Platform are optional). Your role will involve leveraging cloud automation tools, enhancing scalability, and fortifying cloud security measures.
- Containerization and Orchestration: Proficient use of Docker and Kubernetes is crucial for creating, deploying, and managing scalable applications in modern cloud environments. You will be instrumental in developing and deploying Helm charts architecture to support our on-premise private AI deployments, alongside managing CI/CD pipelines for automated deployment and scaling.
- Infrastructure as Code (IaC): Skilled in tools like Terraform, Ansible, or CloudFormation, you will manage and provision resources efficiently through code, ensuring scalable and repeatable setups for our cloud environments.
- Programming and Scripting: Adept in scripting languages such as Python, Bash, or PowerShell, you will automate tasks and possibly interact with APIs or databases.
- Monitoring, Logging, and Operations: You will oversee monitoring and logging to ensure optimal performance and health of applications and infrastructure using tools like Prometheus, Grafana, and the ELK stack.
Your Growth Path: Joining Alan AI means embarking on a journey of growth and innovation. As part of our team, you will:
- Become Proficient: You will master the nuances of building and managing our cutting-edge Alan AI Agent OS products across multiple cloud platforms. This includes ensuring our solutions are a) Efficient, Focused on cost-effectiveness from a budget perspective, b) Performant: Responsible for optimizing latency and response times to enhance user experience, and c) Scalable, Can expand from a single VM to multiple VM setups to handle increasing loads and complex demands.
- Gain Expertise: You will develop expertise in configuring private cloud environments to minimize AI latency, incorporating strategies for processing on end devices and edge computing to achieve superior performance.
- Understand AI S/W Scalability and Resource Management: A deep understanding of scalability and resource management is crucial for effectively running private Large Language Models (LLMs), ensuring they deliver maximum efficiency and reliability. You will be responsible for integrating our platform with leading AI technologies, including Google Gemini, OpenAI GPT-4o, AWS Titan, Mistral, and LLama3, among others.
At Alan AI, you'll find more than a job—you'll join a mission to revolutionize the AI landscape. We are seeking someone with expertise, passion, and vision. If you're ready to be part of something groundbreaking, we eagerly await your application.