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Back End Developer

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Mountain View, United States Alan AI Full time

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: The logical components of the Alan AI Agent OS are the Dialog Server, Indexer, Semantic Database, Tutor, Crawlers, and Model Server. As a backend engineer building the Alan AI Agent OS, you need to demonstrate the following skills:

  1. Proficiency in Backend Programming Languages: Mastery of languages such as Python, Java, or JavaScript is essential for developing the core functionalities of enterprise-level backend systems.
  2. Experience with Microservices Architecture: Skills in designing, developing, and deploying microservices are crucial for ensuring the system is scalable, maintainable, and flexible, especially in complex enterprise environments.
  3. API Design and Development: Ability to create robust and scalable APIs is key, ensuring secure and efficient communication between different software components of the enterprise system.
  4. Cloud Computing and Containerization: Knowledge of cloud platforms (AWS, Azure, GCP) and technologies like Docker and Kubernetes is vital for deploying and managing applications in a scalable and isolated environment.
  5. Security Practices: Understanding security principles and best practices, including data encryption and secure access protocols, is critical in protecting sensitive enterprise data and ensuring compliance with regulatory standards.

Your Growth Path: Joining Alan AI means embarking on a journey of growth and innovation. As part of our team, you will:

  1. Become AI Proficient: You will master the nuances of building our cutting-edge Alan AI Agent OS product for customers deploying in Cloud IT Operations, Higher Education, and Multi-Application AI Agents: a) Deterministic: AI reaching the same result for similar requests, b)Explainable: Build the Reasoning Graphs for the AI reasoning and execution, and c) Extensible: Work on Transform technology to teach reasoning in simple English.
  2. 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.
  3. Understand 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.
  4. Integration Mastery: You will be responsible for fine-tuning the Alan AI Transforms with leading AI technologies, including Google Gemini, OpenAI GPT-4o, AWS Titan, Mistral, and Llama 3.

At Alan AI, you'll find more than a job-you'll join a mission to revolutionize the Enterprise 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.