Senior Software Engineer (Java/Python/LLM)

Binance

Overview

Department

Engineering

Job type

Full time

Compensation

Salary not specified

Location

Singapore

Resume Assistance

See how well your resume matches this job role with our AI-powered score. By uploading your resume, you agree to our Terms of Service

Click to upload

or drag and drop

pdf, doc, or docx (max. 10MB)

Ready to apply?

You're one step away - it takes less than a minute to upload your resume

This role focuses on scaling AI-driven customer service chat analysis. Responsibilities include managing data pipelines, optimizing LLM prompts, and collaborating with cross-functional teams to improve accuracy and feature delivery.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

5+ years of hands-on experience in Java data processing and pipeline development.

Experience with SQL/NoSQL databases, ETL pipelines, and data workflow orchestration tools (e.g., Airflow).

Proficient in Java / Python (at least one language) and Hive & Spark SQL programming languages.

Hands-on experience with AWS, GCP, or Azure is a plus.

Experience with LLM or NLP projects is highly desired

Excellent communication and teamwork skills, with the ability to work in a cross-functional environment.

Fluency in English is required to be able to coordinate with overseas partners and stakeholders. Additional languages would be an advantage.

Responsibilities

Work with data warehouse team, to maintain real time data pipeline of CS business domain, to ensure timely and high-quality data inputs to the AI models.

Design, implement, and refine LLM prompts for enhanced attribution analysis of CS conversations.

Work closely with Ops teams to increase the stability of LLM solutions in a cloud or on-prem environment.

Conduct A/B testing and iterative improvements on LLM performance, and maintaining result accuracy.

Develop and maintain back-end services and automation scripts using Java or Python, ensuring seamless integration with existing systems.

Troubleshoot performance bottlenecks, optimize code, and safeguard data security and privacy.

Collaborate with CS, BI, and SL teams to gather requirements, clarify feature demands, and communicate technical constraints.

Maintain clear, concise documentation of data work flows, LLM prompt templates, and best practices.

Benefits

Shape the future with the world’s leading blockchain ecosystem

Collaborate with world-class talent in a user-centric global organization with a flat structure

Tackle unique, fast-paced projects with autonomy in an innovative environment

Thrive in a results-driven workplace with opportunities for career growth and continuous learning

Competitive salary and company benefits

Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)