- Location
- Jakarta Selatan
- Type
- Full-time
- Department
- Engineering
- Experience
- 2+ years
- Education
- Bachelor
- Closing date
- Today
- Source
- CareersPage
Description
About The Role:
As an Artificial Intelligence (AI) Engineer, you'll help build intelligent products that create real value for our users. Working alongside Product Managers, Software Engineers, and Infrastructure teams, you'll develop, deploy, and improve AI solutions that are scalable, reliable, and ready for production.
This role is ideal for someone who enjoys solving complex problems, experimenting with new technologies, and turning ideas into practical AI applications. Whether it's building machine learning models, integrating Large Language Models (LLMs), or improving existing AI systems, you'll play an important role in bringing AI into our products.
What You Will Do:
Design, build, and maintain AI-powered features and services that support our products.
Develop and deploy machine learning and Generative AI solutions for real business problems.
- Work closely with Product, Backend, Fullstack, and Infrastructure teams to deliver end-to-end AI solutions.
Evaluate, monitor, and improve the performance of AI models in production.
Experiment with new AI techniques, frameworks, and models to continuously improve our products.
Write clean, well-tested, and maintainable code while following engineering best practices.
Participate in code reviews and contribute to technical discussions with the engineering team.
- Stay curious about the latest developments in AI and identify opportunities to apply them where they add value.
What You Will Need:
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
2–5 years of experience building software or AI/ML applications.
Strong programming skills in Python.
- Good understanding of machine learning concepts and experience with frameworks such as PyTorch, TensorFlow, or XGBoost.
- Experience working with Large Language Models (LLMs) and frameworks such as LangChain, LlamaIndex, or similar tools.
- Experience building AI applications in areas such as Natural Language Processing (NLP), Computer Vision, Recommendation Systems, or Generative AI.
Familiarity with REST APIs, Git, Docker, and CI/CD practices.
Working knowledge of SQL and NoSQL databases.
Strong problem-solving skills and a willingness to learn new technologies.
Good communication skills and the ability to work effectively with cross-functional teams.
About the Team:
You'll be part of a collaborative engineering team made up of AI, Backend, and Fullstack Engineers who work together to build AI-powered products from the ground up.
We enjoy solving challenging problems, sharing ideas, and experimenting with new technologies. You'll work closely with Product, Data, and Infrastructure teams to bring AI solutions into production and continuously improve them based on real user needs. Whether you're exploring the latest AI models or optimizing an existing service, you'll have the opportunity to make a meaningful impact while growing your skills alongside experienced engineers.
