AI Programmer

PT Care Technologies; Jakarta Selatan; On-site; IDR 167,400,000 - 301,320,000; Full time

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.

Skills

AI development

REST API

Azure cloud

Problem solving

Team collaboration

Education

Bachelor's degree in CS/IT/SE/Data Science/AI

Tools

Azure OpenAI

Azure AI Services

Git/GitHub

Microsoft SQL Server

Vector search technologies

Job description

Responsibilities

• Design, develop, test, and maintain AI-powered applications and solutions.
• Develop and integrate Generative AI, Large Language Models (LLM), Machine Learning, 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.

Minimum 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 working with relational databases such as Microsoft SQL Server.
• Knowledge of cloud architecture, deployment, scalability, and monitoring.
• Familiarity with Git/GitHub or other version control systems.
• Understanding of software development lifecycle (SDLC), testing, debugging, and deployment processes.
• Good analytical and problem-solving skills.
• Able to work independently as well as collaboratively within a team.
• Good communication skills and ability to understand business requirements and translate them into technical solutions.