AI Developer
- business Talent Job Seeker
- directions_car Ho Chi Minh City
- workFull-time
About the Role Join Savills APAC's AI Innovation team to build intelligent, production-grade solutions — AI agents, RAG pipelines, and Microsoft Copilot integrations — that automate workflows and drive measurable value across commercial real estate operations. You will work directly with the AI Lead and business stakeholders across the region. Key Responsibilities Build agentic AI workflows and multi-agent systems for real estate automation Build and deploy AI agents using Azure AI Foundry and Microsoft Copilot Studio, integrating with M365 services for enterprise deployment Develop RAG pipelines connecting LLMs to corporate knowledge bases and documents Build and consume REST APIs, MCP servers, and vendor database integrations Write clean Python / C# code, contribute to code reviews and technical documentation Education & Baseline Degree in Computer Science, Software Engineering, Data Science, or related field Fundamentals and software engineering practices Strong in Programming Language, Python / C# Familiarity with version control (Git) and collaborative development workflows Genuine passion for AI with the drive to learn new frameworks on the job Preferred Cloud platform experience: Azure (must), AWS, or Google Cloud Azure AI, Microsoft Copilot, or equivalent AI certifications Technology Stack — Experience in at least one per category required Category Options — knowledge of at least one expected Agentic Frameworks LangChain / LangGraph · CrewAI Agent SDK M365 Agent LLM Providers Azure OpenAI · OpenAI API · Anthropic Claude · Google Gemini RAG & Vector DBs Azure AI Search · Azure Cosmos DB (vector) · LangChain on Azure Microsoft AI / M365 Copilot Studio · Power Platform · Graph API · SharePoint APIs & Integration REST APIs · OAuth 2.0 · MCP Servers · Webhook integrations Language Python (primary) · C# · JavaScript / TypeScript (secondary)
Ho Chi Minh City
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Talent Job SeekerHo Chi Minh City
app.general.countries.Vietnam
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Job ID: 10500751 / Ref: 7b3c8e93d7969317d442102563b7e084