AI System Engineer
gosuperedtech
Job Description
- Support the development and maintenance of AI-powered systems, tools, and workflows.
- Assist in integrating AI APIs, LLM platforms, automation tools, and backend services into GoSuper products.
- Work with OpenAI, Gemini, Claude, or similar AI platforms under the guidance of senior engineers.
- Support AI and backend workflows deployed on Google Cloud Platform — GCP.
- Assist with GCP-based services such as Cloud Run, Compute Engine, Cloud Functions, Cloud Storage, Firebase, Firestore, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, and Cloud Monitoring, based on project needs.
- Help build AI workflows for content generation, chatbot systems, smart recommendations, internal automation, and productivity tools.
- Support backend integrations using Node.js, Python, REST APIs, webhooks, and third-party services.
- Assist in designing and maintaining system workflows that connect databases, applications, AI models, cloud services, and business tools.
- Work with databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or similar platforms.
- Help test AI outputs, validate workflows, debug issues, and improve system reliability.
- Monitor system performance, API usage, errors, logs, workflow failures, and cloud service health.
- Support deployment, configuration, and maintenance of AI-enabled product features on GCP.
- Collaborate with product managers, developers, designers, QA teams, and business teams to understand requirements and deliver working solutions.
- Participate in daily standups, sprint planning, technical discussions, and team meetings.
- Document AI workflows, system logic, API integrations, prompts, GCP configurations, deployment steps, and troubleshooting processes.
- Continuously learn and apply best practices in AI systems, backend engineering, automation, GCP cloud infrastructure, and production support.