TheHeGeo We are building large-scale data, AI, agent platforms and digital transformation products for businesses and government agencies, including: AIOT systems for the Ho Chi Minh City Metro infrastructure, Can Tho Bridge, and Vam Cong Bridge; AI transportation systems for the Ho Chi Minh City Department of Transportation; AI call center 19000113 and chatbot for the Hanoi Police Department; and AI call center 19001009 for Hanoi City…
I. INTRODUCTION TO GEO GENERATION CO., LTD.
TheHeGeo We are building large-scale data, AI, agent platforms and digital transformation products for businesses and government agencies, including: AIOT systems for the Ho Chi Minh City Metro infrastructure, Can Tho Bridge, and Vam Cong Bridge; AI transportation systems for the Ho Chi Minh City Department of Transportation; AI call center 19000113 and chatbot for the Hanoi Police Department; and AI call center 19001009 for Hanoi City…
II. DETAILS OF THE JOB POSITION
1. Target and location
- Location: Hanoi Department of Science and Technology (185 Giang Vo Street)
- Target audience: Third-year or fourth-year students, or those about to graduate, and graduates in Information Technology, Computer Science, Data Science, or related fields.
2. AI Engineer (LLM, Agents & Workflow)
Job Description
- Join the development of AI Agents and Copilot under the guidance of a mentor.
- Learn and practice Tool Calling and Workflow.
- Support in building RAGs and Knowledge Services.
- Get familiar with Guardrails and Audit for AI systems.
Request
- Have a basic understanding of Python or TypeScript programming.
- A basic understanding or interest in learning about LLM APIs.
- Have you researched or are interested in RAG and Backend Engineering?.
- Passionate about AI, eager to learn, proactive, and responsible.
3. Data Engineer / Analytics Engineer
Job Description
- Construct the Data Pipeline and Lakehouse.
- Bronze / Silver / Gold architectural design.
- Building Data Mart, Feature Dataset, and Data Quality.
- Data analysis and dashboards.
Request
- SQL, Python
- Spark, Airflow
- Data Modeling
- Data Governance
4. Data Engineer / Analytics Engineer
Job Description
- Kubernetes & Virtualization: Operating self-hosted K8s clusters (Kubespray/kubeadm), HA control plane, Longhorn/storage; KVM/libvirt virtualization on bare-metal Linux (Ubuntu).
- CI/CD & Containers: Jenkins (or GitLab CI/ArgoCD), Harbor registry, build/scan/deploy pipeline, GitOps.
- Networking & Edge: HAProxy/Nginx load balancing, host-based routing, Cloudflare (Tunnel, Zero Trust/Access, DNS), VPN, firewall/NAT, network layer troubleshooting.
- Security (DevSecOps): hardening, secrets management, RBAC, IAM/Keycloak, vulnerability scanning, least-privilege, audit/compliance (priority given to understanding Decree 13 on personal data).
- Data platform (advantage): MinIO/S3, Lakehouse (Iceberg/Nessie/Trino/Spark), PostgreSQL.
- Automation & Operations: Bash/Python, IaC (Ansible/Terraform), monitoring (Prometheus/Grafana), independent and proactive debugging skills, familiarity with on-premise/data center environments.
- Building CI/CD, GitOps, Monitoring, Logging, and Tracing systems.
- Backup, DR, Security Hardening.
Request
- Kubernetes, Docker, Helm, Helmfile
- Linux & PostgreSQL
- CI/CD, GitOps, OIDC/SSO
- Prometheus, Grafana, OpenTelemetry
5. Fullstack Engineer (Backend & Frontend)
Job Description
- Backend APIs and Microservices.
- Frontend Dashboard/Portal.
- Realtime with WebSocket/SSE.
- Integrate AI Services.
Request
- Golang or Node.js
- ReactJS/Next.js
- Zustand, TanStack Query
- Tailwind CSS, shadcn/ui
6. MLOps Engineer (AI Platform)
Job Description
- ML Pipeline & Orchestration: building/operating training-serving pipelines on Kubernetes; orchestrating workflows (Airflow/Kubeflow/Argo Workflows); managing experiment and model registry (MLflow).
- Model Serving & LLM: Implementing model serving (KServe/Triton/vLLM/Ray), optimizing inference, GPU scheduling; experience operating LLM/RAG is a significant advantage.
- Data & Feature: work with Lakehouse (MinIO/S3, Iceberg/Nessie, Trino/Spark), feature pipeline, data versioning; JupyterHub for data scientists.
- MLOps tooling & automation: CI/CD for ML (test/build/deploy model), containerization (Docker/Harbor), IaC (Ansible), solid Python.
- Monitoring & optimization: model monitoring (drift, latency, accuracy), resource/GPU utilization (Prometheus/Grafana), cost optimization.
- Platform & Collaboration: Understanding Kubernetes + on-premise/data center environments, close collaboration with Platform/DevSecOps; proactive thinking, independent debugging.
Request
- Python
- ML/LLM Systems
- Kubernetes
- Monitoring for AI
III. BENEFITS
- Competitive salary.
- Performance-based bonuses.
- Participate in large-scale AI/Data projects with businesses and government agencies.
- A modern, technologically advanced environment with direct mentoring.
IV. HOW TO APPLY
Please contact the person in charge directly using the information below. TheHeGeo warmly welcomes potential candidates!
| Contact person | Ms. Trinh Phuong Linh |
| [email protected] | |
| Phone | 0346 931 848 |
| Interview location | Hanoi Department of Science and Technology - 13th Floor, Giang Vo Street, O Cho Dua Ward, Hanoi City |
| Interview time | After you submit your CV, we will review your application and contact you to schedule an interview. |
