Join us in building vertical AI solutions for businesses.
We’re an AI-driven company on a mission to embed intelligent automation and analytics into the heart of enterprise systems. If you're a hands-on data scientist or AI engineer with 1–2 years of experience and a passion for cloud, machine learning, and large language models (LLMs), we want to meet you.
What You’ll Do
Work across the AI lifecycle: from data preparation and model development to evaluation and deployment.
Fine-tune and integrate LLMs (like OpenAI and Claude) into ERP workflows.
Build smart features such as recommendation engines, forecasting modules, NLP tools, and more.
Develop and maintain scalable cloud-based AI solutions across multi-cloud platforms (AWS, GCP, Azure).
Collaborate closely with cross-functional teams — product, backend, and leadership — in a hybrid setup.
Learn fast, ship often, and help define our AI architecture from the ground up.
Languages: Python, SQL
What We’re Looking For
1–2 years of hands-on experience in Data Science, AI Engineering, or related roles.
Comfort working with cloud environments and building SaaS-style solutions.
Exposure to or strong interest in LLMs and real-world AI applications.
Ability to work independently, take initiative, and collaborate in a hybrid team.
Based in Indonesia and open to working part-remote, part in-person.
Work on real-world AI challenges in ERP — a high-impact and fast-growing space.
Collaborate with founders and senior leaders — get mentorship and make decisions.
Shape AI features that will touch the core operations of real businesses.
Grow fast — technically and professionally — in a startup environment.
How many years' experience do you have as an Artificial Intelligence Engineer?
What's your expected monthly basic salary?
Which of the following types of qualifications do you have?
Which of the following programming languages are you experienced in?
How many years' experience do you have using SQL queries?
Have you worked in a role which requires experience with machine learning techniques?
* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.