We are looking for a skilled Backend Engineer with strong experience in building and integrating automation systems powered by AI. The ideal candidate will be responsible for designing, developing, and maintaining robust backend services that connect AI models, workflow automation tools, and enterprise systems to ensure reliable and scalable AI-driven automation.
Responsibilities
- Design, build, and maintain APIs and backend services to integrate AI models into business applications.
- Develop middleware for connecting workflow automation platforms (e.g., n8n, Airflow) with ticketing systems (e.g., Jira) and data platforms (e.g., Elasticsearch).
- Manage and optimize data pipelines for AI automation, ensuring high availability and performance.
- Implement monitoring, logging, and error-handling systems to ensure reliable AI automation workflows
Job Requirement
- Minimum Bachelor's degree in Computer Science, Software Engineering, or a related field.
- 3–5 years of experience as a Backend Engineer, ideally with system integration and workflow automation.
- Strong proficiency in backend programming languages (Python, , or Go).
- Hands-on experience with workflow automation platforms (e.g., n8n, Airflow, Zapier).
- Familiarity with Jira API integration (issue creation, workflow updates, ticketing automation).
- Experience working with Elasticsearch for data indexing, logging, and analytics.
- Proficiency in designing and maintaining RESTful/GraphQL APIs.
- Database knowledge (SQL/NoSQL, e.g., PostgreSQL, MongoDB).
- Hands-on experience in developing software using Java, Golang, and PHP
- Experience with Docker/Kubernetes for containerization and deployment.
- Knowledge of Docker, Supabase, Vercel, AWS/GCP