Artificial Intelligence Developer

TOG Indonesia; Jakarta Pusat; On-site; IDR 20,000,000 - 45,000,000; Full time

Job summary

TOG Indonesia in Jakarta is seeking a capable AI/ML Engineer to drive end-to-end AI initiatives. You will design, build, test, and monitor AI/ML models and pipelines, collaborating with business and technical teams to translate requirements into scalable solutions.

You will work with Python, ML frameworks, and web technologies to deliver AI-powered applications. Strong SDLC understanding and secure AI practices are required.

Qualifications

• Bachelor's degree in CS/IT/Engineering or equivalent.
• Experience with AI projects preferred; fresh grads welcome.
• Understanding of SDLC (Waterfall/Agile).
• Collaborative with cross-functional teams and strong communication.
• Proficiency in Python and AI libraries; web frameworks experience.

Responsibilities

• Gather and analyze user requirements for AI/ML solutions.
• Design, develop, test, and monitor AI/ML models and pipelines.
• Develop AI-enabled web applications and APIs using Python.
• Ensure SDLC compliance and secure AI practices.
• Collaborate with data analysts, IT, and business teams.
• Design scalable software architecture for AI solutions.
• Provide technical support and document project work.
• Explore emerging AI/ML technologies to improve operations.

Skills

Programming

Algorithmic thinking

Problem solving

Communication skills

Team collaboration

Education

Bachelor's Degree in Computer Science/Information Technology/Computer Engineering

Tools

Python

Django

Flask

HTML5

Bootstrap

jQuery

CSS

React.js

AngularJS

Windows Server

Linux

TensorFlow

PyTorch

Scikit-learn

LangChain

LlamaIndex

Docker

Git

CI/CD

Job description

• Gather and analyze user requirements related to Artificial Intelligence (AI) solutions and design appropriate technical approaches to meet business needs.
• Design, develop, test, and monitor Artificial Intelligence (AI) and Machine Learning (ML) models for various use cases, including but not limited to prediction, classification, segmentation, and process automation.
• Develop end-to-end AI/ML pipelines, covering data collection, model training, evaluation, deployment, and production monitoring.
• Collaborate in the development of web applications or systems that integrate AI components using Python and other AI frameworks or tools.
• Follow and comply with the organization's Software Development Life Cycle (SDLC) processes and standards.
• Develop responsive and user-friendly user interfaces.
• Design, build, and manage databases.
• Design, develop, and implement APIs for system integration.
• Perform application troubleshooting and debugging, and document identified issues along with their corresponding resolutions.
• Collaborate with software developers, data analysts, and business teams to ensure AI solutions align with business requirements and corporate policies.
• Work closely with internal and external stakeholders to design and implement scalable software architecture and AI solutions.
• Actively participate as a technical support member in solution development projects.
• Prepare and maintain comprehensive project documentation and other technical documentation.
• Research and recommend emerging AI and Machine Learning technologies that can be adopted to improve business operations and innovation.
• Provide recommendations for policies, guidelines, and procedures related to the ethical, secure, and responsible use of Artificial Intelligence technologies.
• Design and execute AI model evaluation processes using appropriate performance metrics, and continuously improve models based on evaluation results.
• Monitor the performance of deployed AI models to ensure reliability, accuracy, and operational stability.
• Implement security best practices for AI solutions, including access control, sensitive data protection, input validation, and mitigation of AI model misuse or abuse.
• Optimize AI solution performance in terms of model accuracy, inference latency, computational resource utilization, and operational cost efficiency.
• Integrate AI solutions with internal and external systems through RESTful APIs, message brokers, databases, or other integration mechanisms.
• Design and execute comprehensive testing for AI solutions, including Functional Testing, Model Validation, Prompt Testing, Regression Testing, and User Acceptance Testing (UAT).
• Develop, manage, and optimize knowledge bases, vector databases, embeddings, and Retrieval-Augmented Generation (RAG) mechanisms to support AI-powered applications.

Requirement

• Bachelor's Degree (S1) or equivalent in Computer Science, Information Technology, Computer Engineering, or a related field.
• Experience in Artificial Intelligence (AI) projects or AI-related activities is preferred. Fresh graduates with relevant AI project, internship, or thesis experience are welcome to apply.
• Strong understanding of the Software Development Life Cycle (SDLC), including both Waterfall and Agile methodologies.
• Experience participating in AI/ML projects using Agile and/or Waterfall development methodologies.
• Ability to collaborate effectively with cross-functional teams (Data, Business, and IT) and possess excellent communication skills.
• Proficient in Microsoft Office Suite (Word, Excel, and PowerPoint).
• Strong programming, algorithmic thinking, and problem-solving skills.
• Experience designing databases, writing SQL queries, stored procedures, and database functions using Microsoft SQL Server 2019 and MySQL.
• Strong proficiency in Python, particularly for AI development using libraries such as Pandas, NumPy, and Scikit-learn.
• Familiarity with web development frameworks such as Django and Flask for integrating AI models into web applications.
• Familiarity with front-end technologies such as HTML5, Bootstrap, jQuery, CSS, React.js, and AngularJS.
• Familiarity with server operating systems, including Windows Server and Linux.
• Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and Generative AI frameworks such as LangChain, LlamaIndex, or similar technologies.
• Strong understanding of Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
• Understanding of MLOps concepts, including model deployment, versioning, monitoring, and AI model lifecycle management.
• Familiarity with cloud platforms for AI/ML development, particularly Amazon Web Services (AWS). Experience with Microsoft Azure and/or Google Cloud Platform (GCP) is considered an advantage.
• Proficient in using Git or other version control systems, as well as CI/CD pipelines for collaborative software development.
• Familiarity with containerization technologies such as Docker for AI application development and deployment.
• Strong understanding of AI application security, data protection, and Responsible AI principles.
• Understanding of AI/ML model evaluation metrics and the ability to analyze model performance to support continuous improvement.
• Strong understanding of RESTful APIs, with the ability to design, develop, and manage APIs for AI model deployment and integration.
• Strong troubleshooting and debugging skills.
• Ability to prepare and maintain comprehensive technical documentation, including AI model documentation, API documentation, and other project documentation.
• Detail-oriented with excellent attention to accuracy and quality.
• Strong quality-focused mindset with a commitment to delivering reliable and scalable AI solutions.
• Ability to manage multiple projects simultaneously while effectively prioritizing tasks and meeting deadlines.
• Ability to write clean, modular, maintainable, and well-documented code that adheres to software development best practices and can be easily maintained by other team members.