
Artificial Intelligence ⢠Marketplace ⢠B2B
AndAI is a company that builds cost-effective, customizable AI plugins and integrations that help businesses get AI-ready quickly. They analyze customers' use cases and systems to develop tailored plugins focused on practical value addition, and they operate a marketplace of vetted AI plugins reviewed by experts. AndAI provides integration support and bespoke development so companies can add chatbot, document query, and other AI features into existing products and workflows.
May 15
Apache
AWS
Cloud
Distributed Systems
Django
Docker
EC2
Flask
Kafka
Kubernetes
Microservices
MongoDB
NoSQL
Pulsar
Python
Terraform

Artificial Intelligence ⢠Marketplace ⢠B2B
AndAI is a company that builds cost-effective, customizable AI plugins and integrations that help businesses get AI-ready quickly. They analyze customers' use cases and systems to develop tailored plugins focused on practical value addition, and they operate a marketplace of vetted AI plugins reviewed by experts. AndAI provides integration support and bespoke development so companies can add chatbot, document query, and other AI features into existing products and workflows.
⢠Design, develop, and optimize scalable backend systems using a modern tech stack. ⢠Lead the design and development of scalable, high-performance backend systems with a focus on reliability and maintainability. ⢠Build and maintain REST APIs and microservices using Python, leveraging the FastAPI framework, to integrate with various external systems and services. ⢠Work with Apache Kafka or Pulsar for building reliable, real-time data streaming pipelines and message-driven architectures. ⢠Develop solutions utilizing OLAP databases like StarRocks to support fast, analytical queries over large datasets. ⢠Optimize data ingestion and processing pipelines for high performance and low latency. ⢠Design and manage non-relational databases such as MongoDB, handling schema design, query optimization, and scaling issues to ensure performance at scale. ⢠Utilize AWS for deploying, scaling, and managing cloud resources, including EC2, S3, Elastic Beanstalk, EKS, and other managed services. ⢠Implement infrastructure automation, ensuring consistent and scalable deployment of environments. ⢠Leverage Kubernetes for deploying, managing, and scaling containerized applications in a cloud-native environment. ⢠Work closely with junior developers and provide technical leadership and mentorship on best practices, code quality, and system design principles. ⢠Contribute to the evolution of engineering processes and practices, focusing on improving system performance, security, and efficiency.
⢠3+ years of experience in R&D architecture and integration ⢠Strong proficiency in using web frameworks such as Flask, Django, or FastAPI to build and maintain RESTful APIs. ⢠Experience with distributed messaging systems like Apache Kafka or Pulsar for building real-time data streaming pipelines. ⢠Experience in OLAP databases (e.g., StarRocks, ClickHouse) and experience with high-performance data storage, querying, and analytics. ⢠Solid experience working with NoSQL databases like MongoDB or similar, with a focus on scalability and performance optimization. ⢠Hands-on experience with AWS services (EC2, S3, Elastic Beanstalk, EKS, etc.) and cloud-native application development. ⢠Proficiency with Infrastructure as Code (such as Terraform), automating deployments and infrastructure management. ⢠Experience with containerization (Docker) and container orchestration using Kubernetes. ⢠Excellent problem-solving and debugging skills, particularly in distributed systems. ⢠Familiarity with CI/CD pipelines, version control (Git), and agile development practices. ⢠Growth mindset with a commitment to continuous learning. ⢠Ability to communicate complex technical ideas clearly and collaborate effectively with cross-functional teams.
⢠Access to competitive Salary ⢠Performance Bonus ⢠Skill development support ⢠Mentorship form Industry Experts ⢠Get the access to all AI models and 5000 credits on AndAI ⢠Join the AI community for lifetime ⢠Learn AI integration with real time use cases ⢠Understand the Gen AI apps architecture and its applications
Apply NowApril 24
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