AI Expert (Future Opening)

DOKU, PT NUSA SATU INTI ARTHA; Jakarta Timur; On-site; IDR 531,161,473 - 885,269,122; Full time

Job summary

DOKU, PT NUSA SATU INTI ARTHA in Jakarta Timur is seeking an experienced AI/ML Engineer to fine-tune and optimize LLMs for chatbot applications. In this role, you'll collaborate with Product, Data Science, and Engineering teams to create seamless, secure payment experiences.

The ideal candidate has a Bachelor's or Master's in Computer Science, AI, or Data Science, and at least 3–5 years of experience in AI/ML, focusing on fine-tuning and deploying LLM-based systems.

Qualifications

• 3–5 years of experience in AI/ML with proven experience fine-tuning LLM-based chatbot systems.
• Experience with LLM frameworks like LangChain and Unsloth.
• Ability to communicate technical findings to non-technical stakeholders.

Responsibilities

• Fine-tune and optimize LLMs for chatbot applications.
• Build and manage deployment pipelines using AI frameworks.
• Collaborate with teams to ensure AI alignment across systems.

Skills

Model fine-tuning

Pipeline deployment

AI frameworks (LangChain, Unsloth)

Python proficiency

Problem-solving

Education

Bachelor’s or Master’s in Computer Science, AI, or Data Science

Tools

Docker

FastAPI

Ray

Kubernetes

TensorFlow

Job description

Build What Matters. Grow Beyond Limits.

DOKU is where innovation meets real impact, creating seamless, secure payment experiences for millions, every day.

About The Role

Fine-tune, deploy, and optimize AI models while ensuring high performance and continuous improvement based on user feedback. The ideal candidate will have experience in model training, pipeline deployment, and working with frameworks like Unsloth, LangChain, and LLM observability tools.

What will you do

• Fine-tune and optimize LLMs (Large Language Models) for chatbot applications and other NLP tasks
• Build and manage deployment pipelines using frameworks like LangChain, Unsloth, or equivalent
• Implement and manage LLM observability tools to monitor model behavior and health
• Optimize chatbot models for latency, token usage, accuracy, and relevance
• Translate business and user requirements into technical LLM capabilities
• Collaborate with Product, Data Science, and Engineering teams to ensure AI alignment across systems
• Contribute to internal AI development standards and share best practices with the wider architecture and engineering team

Job Challenge

• Keeping up with rapid changes in LLM tooling and performance optimization
• Chatbot relevance and accuracy in multilingual financial use cases
• Ensuring balancing model size, response time, and cost
• Integrating open-source AI solutions securely into production systems
• Managing ethical concerns (bias, hallucination, compliance)

Technical Competency

• Experience with LLM frameworks (e.g., LangChain, Unsloth, HuggingFace)
• Hands-on with model fine-tuning (e.g., LoRA, QLoRA, PEFT techniques)
• Deployment pipeline tools (Docker, FastAPI, Ray, Kubernetes)
• Experience with vector stores and embedding models (e.g., FAISS, Pinecone)
• Knowledge of LLM observability tools (e.g., Arize AI, Phoenix, WandB)
• Python, PyTorch, or TensorFlow proficiency
• Prompt engineering and retrieval-augmented generation (RAG)

Soft Competency

• Strong problem-solving and critical thinking skills
• Curiosity and continuous learning in fast-evolving AI space
• Ability to communicate technical findings to non-technical stakeholders
• Team collaboration with product managers and developers
• Agile mindset and delivery-oriented execution

What we are looking for

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
• 3–5 years in AI/ML, with proven experience fine-tuning and deploying LLM-based chatbot systems
• Willing to work from Jakarta office