AI System Engineer

Click "Apply Now" in https://gosuperedtech.com/career/ai-system-engineer to apply

Role Overview

We are looking for a Junior AI System Engineer who is eager to build a career in AI systems, automation, backend workflows, cloud infrastructure, and intelligent product operations.

This role offers an opportunity to work closely with experienced engineers, product teams, and AI specialists on real AI-powered systems that support learners, educators, schools, and internal business operations.

At GoSuper EdTech, our cloud infrastructure is built on Google Cloud Platform — GCP. You will get hands-on exposure to GCP-based systems, backend services, AI integrations, deployment workflows, monitoring, cloud storage, databases, and automation pipelines.

You will help design, integrate, test, monitor, and maintain AI-enabled systems using modern tools such as AI APIs, LLMs, automation workflows, backend services, databases, GCP services, cloud deployment tools, and monitoring systems.

This role is ideal if you are curious about AI, comfortable with technical problem-solving, and interested in building reliable systems that connect software, data, cloud infrastructure, automation, and intelligent workflows.

What You’ll Do

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.

What We’re Looking For

6 months to 1 year of experience in AI systems, backend development, software engineering, automation, DevOps support, cloud support, system integration, or relevant internship/project experience.

Basic understanding of AI tools, LLMs, APIs, automation workflows, and software systems.

Working knowledge of JavaScript, TypeScript, or Python.

Basic backend development experience with Node.js, Express, NestJS, FastAPI, or similar frameworks.

Basic understanding of Google Cloud Platform — GCP or willingness to learn GCP-based deployment and monitoring workflows.

Understanding of REST APIs, webhooks, third-party integrations, and data flow between systems.

Interest in AI APIs, prompt workflows, chatbot systems, automation tools, and intelligent product features.

Basic understanding of databases such as PostgreSQL, MongoDB, Firebase, Firestore, Supabase, or Redis.

Ability to debug technical issues across APIs, workflows, logs, backend services, and cloud deployments.

Good analytical thinking and problem-solving ability.

Ability to write clear documentation for workflows, integrations, cloud configurations, and technical processes.

Eagerness to learn new tools, AI platforms, system design concepts, GCP services, and cloud technologies.

Good communication skills to work with technical and non-technical teams.

Ownership mindset and willingness to take responsibility for assigned tasks.

Comfortable working in a fast-paced startup environment.

Nice to Have

Familiarity with AI APIs such as OpenAI, Gemini, Claude, or similar platforms.

Basic understanding of prompt engineering and LLM-based workflows.

Exposure to LangChain, LlamaIndex, embeddings, vector databases, or retrieval-augmented generation.

Basic experience with GCP services such as Cloud Run, Cloud Functions, Firebase, Firestore, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, Cloud Logging, or Cloud Monitoring.

Exposure to Google AI tools, Vertex AI, Gemini API, or AI-related services on GCP.

Experience with automation tools, workflow builders, webhooks, or integration platforms.

Exposure to Docker, CI/CD pipelines, GitHub Actions, deployment workflows, or cloud-based release processes.

Experience working with logs, monitoring tools, API testing tools, or debugging platforms.

Familiarity with Postman, Git, GitHub, Notion, Zoho, Slack, or similar productivity tools.

Experience building chatbots, AI assistants, internal tools, or automated workflows.

Personal, academic, internship, or open-source projects related to AI, automation, backend systems, GCP, or cloud tools.

Interest in SaaS, EdTech, AI-powered products, and startup environments.

What You’ll Gain

Hands-on experience building AI-powered systems in a real startup environment.

Practical exposure to AI APIs, LLM workflows, automation systems, backend services, and GCP cloud infrastructure.

Mentorship from senior engineers and product leaders.

Experience working a