Senior Data Scientist

About Atome Financial Headquartered in Singapore, Atome Financial is building a world-class tech enabled financial services platform that is the best companion of our customers lifetime. As a part of the Advance Intelligence Group, a Series D fintech unicorn and ranked Top 10 on LinkedIn’s 2023 Top Singapore StartUps list with over 1,400+ staff worldwide, we are united by a shared vision and purpose: to Advance with Intelligence for a Better Life--for our customers, colleagues and communities.

Atome Financial operates in 5 ASEAN markets (Singapore, Malaysia, Indonesia, Philippines, and Thailand). We have 3 key products:

• Atome BNPL: A leading buy now pay later brand in ASEAN and partners over thousands of online and offline brands
• Atome Card: A paylater anywhere card.
• Kredit Pintar: A leading Indonesia digital lending apps, regulated and supervised by Indonesia's Financial Services Authority (OJK).

Our culture is built on values that are core to who we are and what we stand for:

• We foster an INNOVATION mindset
• We achieve results with EFFICIENCY and excellence
• We take pride in the QUALITY of our work
• We uphold INTEGRITY in all we do
• We embrace COLLABORATION to work across business lines and borders

Job Description

• Design, build and continuously improve LLM-powered chatbot and AI agent applications using LangChain and related frameworks, including RAG, tool calling, memory, workflow orchestration and multi-agent systems.
• Develop, deploy and maintain end-to-end AI application components, including data processing, prompt engineering, retrieval pipelines, model evaluation, API services, observability and production infrastructure.
• Proficiently leverage coding agents and AI-assisted development tools in daily engineering work to accelerate coding, debugging, testing, refactoring and technical research, while maintaining high standards of code quality and reliability.
• Build comprehensive evaluation and monitoring frameworks for LLM applications, covering response quality, latency, cost, retrieval performance and system reliability, and provide insights to continuously improve user experience and business impact.

Requirements

• Strong programming and software engineering skills. Proficient in Python and familiar with API service development, deployment and production engineering practices.
• Hands-on experience with LangChain or similar LLM application frameworks. Familiar with common chatbot and agent architectures, including RAG, vector databases, embeddings, tool calling, structured output and agent workflows.
• Highly proficient in using coding agents and AI coding tools to complete real-world software engineering tasks efficiently. Able to effectively instruct, review and collaborate with coding agents rather than relying solely on manual development.
• Good understanding of LLM fundamentals, prompt engineering and evaluation methodologies. Experience with major LLM APIs and open-source models is preferred.
• Diligent and practical, with excellent communication skills, teamwork spirit and the ability to work effectively in a fast-paced environment.
• Candidates with hands-on experience building and deploying production-grade LLM chatbot or AI agent applications will be considered first.