AI Engineer
Job Reference: 22850
Posted Date: 03/10/2026
Employment Type: Permanent
Salary: Negotiable
Industry: Oil and Gas
A. Key Responsibilities
- Identify and assess AI use cases based on business, technical, and governance requirements.
- Design and implement AI/GenAI solutions, including chatbots, AI assistants, RAG systems, document search, summarization, and report generation.
- Develop AI Agents, prompt engineering frameworks, and end-to-end RAG pipelines.
- Build, deploy, and optimize ML, LLM, MLOps, and LLMOps solutions.
- Integrate AI applications with enterprise platforms such as SAP, Microsoft 365, SharePoint, and internal systems.
- Deploy and manage Microsoft Copilot, Azure OpenAI, Claude AI, and other enterprise AI platforms.
- Ensure AI governance, security, compliance, and responsible AI practices in accordance with ISO, NIST, and applicable regulations.
- Collaborate with business and IT stakeholders to drive AI adoption and digital transformation initiatives.
B. Qualifications & Skills
- Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, or related fields.
- 3+ years of experience in AI, Machine Learning, Data Science, or Generative AI development.
- Strong proficiency in Python and AI frameworks/libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, and LlamaIndex.
- Solid understanding of Machine Learning, Deep Learning, LLMs, RAG, AI Agents, and Prompt Engineering.
- Experience with vector databases, Azure OpenAI, Microsoft Copilot, Azure AI Search, Pinecone, Weaviate, or similar technologies.
- Familiarity with MLOps/LLMOps, SQL, cloud platforms (Azure/AWS/GCP), Docker, and Kubernetes.
- Knowledge of AI Governance, Responsible AI, Information Security, and Data Privacy principles is preferred.
C. Preferred Certifications
- Microsoft Azure AI Fundamentals (AI-900).
- Azure AI / Azure OpenAI Applied Skills certifications.
- AWS or Google Cloud AI/ML certifications.
- Responsible AI or AI Governance certifications are an advantage.
D. Other information
- Working location: Vung Tau (on-site)
- Working time: Mon - Sat (7:30 - 17:00)
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