Kerja Sepenuh Masa AI Engineer – Generative AI - Azure, Gaji tinggi SGD 5,000 di OPTIONS GROUP SINGAPORE CONSULTING PTE. LTD. Central Region (Singapore) - Maukerja

Location: Singapore | Junior to Mid-Level

We are looking for a hands-on AI Engineer to join a growing AI engineering team within a leading financial-services organisation in Singapore.

You will design, build and deploy Generative AI and LLM-powered applications within a Microsoft Azure environment, helping move AI solutions from prototype through to production.

What You'll Do

• Build GenAI, LLM and RAG-based applications using Azure.
• Develop AI assistants, copilots and agentic AI workflows.
• Integrate AI applications with enterprise data, APIs and internal systems.
• Develop backend services and APIs primarily using Python.
• Work with Azure AI Search, Microsoft Fabric and related Azure services.
• Support model testing, evaluation, monitoring and production deployment.
• Build AI solutions that meet financial-services security, risk and governance standards.
• Partner with Architecture, Data, Engineering and business teams to deliver practical AI use cases.

What We're Looking For

• 2–5 years' experience in Software Engineering, AI/ML Engineering, Data Engineering or a related area.
• Strong hands-on Python development skills.
• Experience working within a Microsoft Azure environment.
• Practical exposure to Generative AI, LLMs and RAG.
• Experience with APIs, Git/GitHub and SQL.
• Exposure to Azure OpenAI / Microsoft Foundry, Azure AI Search, Microsoft Fabric or similar technologies is highly desirable.
• Knowledge of AI agents, vector search, embeddings, CI/CD or containers would be advantageous.
• Financial-services experience is beneficial but not essential.

The Opportunity

This is an opportunity to help build an internal AI engineering capability, working on solutions across front-office productivity, research, knowledge management, operations, risk and compliance.

We're particularly interested in hands-on engineers who enjoy building and deploying real-world AI applications, rather than purely research or strategy-focused profiles.