Azure AI Engineer: Generative AI & LLM Solutions

PT Care Technologies

Jakarta Selatan

On-site

IDR 167,400,000 - 301,320,000

Full time

4 days ago

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Job summary

PT Care Technologies in Jakarta Selatan is seeking an AI-focused software engineer to design, build, and maintain AI-powered applications. You will integrate Generative AI, LLMs, and ML models into enterprise systems using Azure cloud services and AI APIs.

Ideal candidates have 1–2 years of hands-on AI development experience, familiarity with Azure OpenAI, RAG strategies, and REST/JSON integrations. You’ll collaborate with cross-functional teams and contribute to scalable, secure AI solutions.

Qualifications

Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, Artificial Intelligence, or a related field.
Minimum 1-2 years of experience in software development, AI development, Machine Learning, or related fields.
Good understanding of Artificial Intelligence, Machine Learning, Generative AI, and Large Language Models (LLM).
Experience working with Microsoft Azure and Azure-based application development.
Experience with Azure OpenAI or other Azure AI services is highly preferred.
Understanding and practical experience with RAG (Retrieval-Augmented Generation) and vector search technologies.
Understanding of REST API, Web API, JSON, authentication, and system integration.
Experience with Microsoft SQL Server.

Responsibilities

Design, develop, test, and maintain AI-powered applications and solutions.
Develop and integrate Generative AI, LLM, ML, and AI APIs into business applications.
Develop AI solutions using Microsoft Azure AI and Azure cloud services.
Work with services such as Azure OpenAI, Azure AI Search, Azure AI Foundry, Azure Functions, Azure App Service, Azure Storage, and Azure SQL.
Develop and maintain APIs and backend services for AI application integration.
Integrate AI capabilities with existing enterprise applications, databases, and business systems.
Develop solutions for document processing, data extraction, classification, summarization, chatbot/virtual assistant, and other AI use cases.
Implement Retrieval-Augmented Generation (RAG) solutions and work with vector databases/search technologies.
Develop effective prompts and implement Prompt Engineering techniques to improve AI response quality.
Perform data preparation, processing, validation, and integration for AI applications.
Conduct testing, debugging, performance optimization, and troubleshooting of AI solutions.
Implement security, access control, data protection, and responsible AI practices within AI applications.
Monitor AI application performance and continuously improve accuracy, reliability, and scalability.
Collaborate with Software Developers, Business Analysts, Project Managers, IT Infrastructure, and business users to understand requirements and deliver AI solutions.
Prepare technical documentation, architecture/design documents, and implementation guides.
Stay updated with the latest developments in AI, Generative AI, LLM, Microsoft Azure, and related technologies.
Support Proof of Concept (POC), pilot projects, and production implementation of AI solutions.