Kata.ai is an Indonesian Conversational Artificial Intelligence company with a focus on creating technology to enhance the understanding of human conversations, improving the way humans collaborate with machines. Kata.ai’s Natural Language Processing (NLP) technology powers MultiPurpose chatbots (virtual customer service / virtual friend) for major corporations in Indonesia across different kinds of industries such as Unilever (FMCG), Telkomsel (Telco), Bank BRI (Financial Services), and Alfamart (Retail).

The company’s proprietary Kata Bot Platform can be leveraged to create feature-rich chatbots on top of Kata.ai’s robust and scalable AI technology platform, ensuring company of any size can easily build their own chatbot on any messaging platform. With this platform, it is now possible for the business to focus on designing engaging interaction for their customers, while Kata.ai handles all the technology aspects of the chatbots.

Established in 2015, the company has become a trusted partner for major corporations such as Microsoft, Accenture, and Line. In 2020, the company received Series-B funding from TransPacific Technology Fund and MDI Venture.

Design, develop, and maintain scalable and reliable backend services and APIs that power client-facing AI products — ensuring high availability, security, and seamless integration with AI engines, third-party communication platforms, and cloud infrastructure — so that enterprise clients can deliver exceptional customer experiences through Kata's conversational AI and voice solutions.

Qualifications & Education : 

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field
• Relevant certifications (GCP/Azure, Kubernetes, etc.) are a plus

Technical Skills :

• Languages: Go, or Node.js
• Database: PostgreSQL, MySQL, MongoDB, Redis (caching and session management)
• API Design: RESTful APIs, WebSocket; GraphQL is a plus
• Cloud: GCP or Azure — compute, cloud storage, managed services, and IAM
• Containerization: Docker, Kubernetes
• CI/CD: GitLab CI, GitHub Actions, or equivalent pipelines
• Message Queues: RabbitMQ, Kafka, or Google Pub/Sub
• Security: JWT/OAuth2 authentication, API rate limiting, data encryption best practices
• Monitoring: Familiarity with Prometheus, Grafana, or ELK stack for observability

Experience

Associate Level (1–2 years)

• 1–2 years of professional experience in backend software development
• Hands-on experience building and consuming RESTful APIs in production environments
• Exposure to cloud platforms (GCP or Azure) — compute, storage, or managed services
• Experience working with relational databases (PostgreSQL or MySQL) in a production setting
• Familiarity with containerization using Docker and basic Kubernetes operations
• Experience working in Agile/Scrum teams with sprint-based delivery

Mid Level (3–5 years)

• 3–5 years of professional experience in backend development, with at least 2 years in production-grade, high-traffic API systems
• Proven experience designing and maintaining scalable REST APIs serving enterprise or high-volume workloads
• Hands-on experience with GCP or Azure — including IAM, managed databases, cloud storage, and observability tools
• Experience with asynchronous messaging systems (RabbitMQ, Kafka, or Google Pub/Sub)
• Demonstrated ability to implement CI/CD pipelines and enforce code quality standards
• Experience working in cross-functional squads alongside AI, Frontend, QA, and DevOps engineers

We value a flexible working hour for our employees.

The most important is we provide a learning experience in Conversational AI Industry.