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[LI] AI Technical Support

Confidential

Jakarta Selatan, DKI Jakarta Hybrid permanent

Posted: January 30, 2026

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Quick Summary

Design, deploy, and support AI-powered solutions for DANA's digital wallet platform.

Job Description

About DANA

DANA is a leading Indonesian digital wallet platform committed to making every transaction simple, secure, and accessible. As a homegrown fintech company, we serve millions across Indonesia with cashless solutions—from payments and transfers to investments. We aim to build a trusted and inclusive financial ecosystem, driven by innovation, collaboration, and continuous learning.

Join us and be part of Indonesia’s digital transformation journey!

📌 What We’re Looking For: AI Support Engineer 

We are looking for an AI Support Engineer to help design, deploy, and support AI-powered agents and generative AI solutions across DANA’s products and internal workflows. This role focuses on building reliable, production-ready AI systems, ensuring their performance, safety, and continuous improvement in real-world environments.

You will work closely with engineering, product, and research teams to integrate AI agents into applications, monitor their behavior, and optimize their performance through feedback and iteration.

What You Will Do :

Design and implement AI agents using Large Language Models (LLMs), planning algorithms, and decision-making frameworks

Develop agent architectures that support autonomy, interactivity, and task completion

Integrate AI agents into applications, APIs, and workflows, including chatbots, copilots, and automation tools

Deploy, maintain, and support AI systems in production environments, ensuring reliability, scalability, and performance

Monitor agent performance, conduct evaluations, and implement safety, guardrails, and governance mechanisms

Optimize agent behavior through feedback loops, reinforcement learning, and user interaction analysis

Collaborate with cross-functional teams (engineering, product, research, business) to translate use cases into AI-driven solutions

Troubleshoot issues, analyze failures, and continuously improve system stability and accuracy

Maintain clear and thorough documentation covering agent logic, system design, configurations, and dependencies

Stay up to date with the latest advancements in generative AI, agent frameworks, and LLM technologies, actively pursuing continuous learning

What You Will Need :

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Strong programming skills in Python (or similar languages) with hands-on experience using AI/ML libraries and tools such as LangChain, OpenAI API, Hugging Face, PyTorch, or equivalent

Practical experience building applications with LLMs or generative AI models

Solid understanding of agent-based modeling, multi-agent systems, or reinforcement learning

Familiarity with API development, backend services, and deployment pipelines

Strong problem-solving skills and the ability to debug and optimize AI systems in production

Ability to work independently in experimental and fast-paced environments, while collaborating effectively with cross-functional teams

Good written and verbal communication skills, capable of explaining technical concepts to both technical and non-technical stakeholders

Preferred Qualifications :

Experience with autonomous agent frameworks such as AutoGPT, CrewAI, LangGraph, ReAct, or BabyAGI

Knowledge of vector databases, prompt engineering, and retrieval-augmented generation (RAG)

Background in human–AI interaction, conversational UX, or simulation environments

Experience supporting or operating AI systems at scale

Contributions to open-source AI projects or a portfolio showcasing agent-based systems

Understanding of ethical, social, and safety considerations related to autonomous AI systems

🎯 Ready to Apply?

If you’re passionate about building and supporting real-world AI systems and eager to make an impact at scale, we’d love to hear from you. Apply now and grow with us at DANA.

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