Hybrid AI Technical Support

at DanAid

• Job title: AI Technical Support
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Python, PyTorch
• Location requirements: Hybrid, Jakarta Selatan, Indonesia

About the role

• AI Support Engineer at DANA, focusing on designing and deploying AI-powered agents and solutions. Collaborating across teams to optimize performance and ensure reliability in production environments.

Responsibilities

• 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

Requirements

• 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.

Benefits

• Health insurance
• Professional development