AI Software Engineer - Excellent Benefits Package

• Work with cross-functional teams in product, data science, sales and finance to achieve business goals
• Design flexible, maintainable code
• Safeguard code quality on your team, reviewing others’ code with an eye to performance and maintainability
• Build and launch products rapidly and incrementally
• Strongly influence technology & infrastructure direction
• Develop and maintain server-side components for AI chatbot applications.
• Implement business logic and algorithms to handle user requests and generate intelligent responses.
• Manage data storage and integration with external APIs or systems.
• Optimize performance and scalability of the chatbot system.
• Collaborate with frontend developers, AI engineers, and UX/UI designers to ensure seamless integration.
• Conduct testing and debugging to ensure the chatbot functions correctly.
• Provide ongoing maintenance and support for the chatbot application.

Job Requirements:

• BS or MS in Computer Science or a related degree
• 3+ years of software development proficiency in at least 1 of these languages – Java (preferred), Kotlin, PHP, Python, Scala, C#, Go.
• 1+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns (OOA/OOD)
• Good working knowledge of modern database & storage technologies, hands-on experience on at least 1 of these database systems: MySql, MongoDB, PostgreDB, MS SQL, Oracle.
• Understanding of performance tradeoffs, load balancing and operational issues.
• Strong knowledge of design patterns and engineering best practices
• You can communicate, write and present effectively

Preferred Qualifications:

• Hands-on experience on payment related systems/services
• Hands-on experience on crypto currencies, preferred USDT
• Hands-on experience on building distributed systems
• Hands-on experience on building streaming apps
• Hands-on experience on ChatGPT
• Hands-on experience on big data technologies such as Apache Spark, Flink, Hadoop, etc
• Familiarity with production deployments in AWS, Azure or similar public clouds
• Strong understanding of DevOps & CI/CD processes, as well as technologies for application deployment in the cloud such as Kubernetes