AI Engineer

Role: AI Product Engineer

Location: Jakarta (Relocation support provided by the organization)

YOE: 1 to 7 years

Must-Have Skills:

• Hands-on experience with Deployment
• Expertise in AI Agents, Generative AI, and Large Language Models (LLMs)
• Understanding of Conversational AI frameworks, Langchain etc
• Experience working with LLaMA or similar open-source LLM architectures

Key Responsibilities:

1) AI Powered Automation & Operational Scaling

• Lead the development and integration of cost effective AI systems, leveraging LLMs and AI agents to optimize business operations, automate workflows, and improve customer support processes.
• Implement AI-based self serve tools to reduce operational dependencies.
• Collaborate with product and engineering teams to integrate AI driven automation into products, customer support, and internal operations.
• Identify and implement AI tools to enhance team productivity, GTM strategies, and business scalability.

2) AI Systems Architecture & Development

• Set up evaluation frameworks for AI systems & drive experimentations to optimize performance
• Lead the development and integration of AI agents for business automation (e.g., customer support, operations, GTM workflows).
• Rapidly prototype with AI tools iterating from proof-of-concept (POC) to full-scale production deployment, aim to minimize software development costs and maximize ROI

3) Technical Leadership & Strategy

• Assist in developing AI roadmaps and strategies to drive innovation and long term efficiency.
• Ensure AI solutions align with business objectives, compliance standards, and scalability needs.
• Establish best practices for AI governance and continuously drive learning within the team.

Preferred Qualifications:

• Experience in natural language processing (NLP) and conversational AI development.
• Familiarity with cloud platforms AWS / GCP / Azure.
• Strong problem-solving and analytical skills with a focus on performance optimization.
• Excellent communication skills to collaborate with cross-functional teams effectively.
• Experience with machine learning frameworks and tools