Enable job alerts via email!

Senior QA Engineer - AI/LLM

Binance

Jakarta Selatan

Hybrid

IDR 300.000.000 - 400.000.000

Full time

Yesterday
Be an early applicant

Job summary

A leading blockchain ecosystem is looking for a Software QA Engineer in Jakarta Selatan. The role involves participating in the software development lifecycle, creating test strategies, and analyzing test failures. Candidates should have a Bachelor or Master in computer science and over 3 years of QA experience, particularly in automation and AI applications. This role offers competitive salary and the possibility of remote work arrangements.

Benefits

Competitive salary
Career growth opportunities
Work-from-home arrangement

Qualifications

  • 3+ years of software QA engineering experience.
  • Full cycle testing with test planning and execution.
  • Experience with LLM development or eval is a plus.

Responsibilities

  • Participate in the software development lifecycle from requirements analysis to maintenance.
  • Create test strategies to ensure application performance.
  • Analyze test failures and drive future optimization.

Skills

Java coding skills
Software QA engineering
Automation or QA tools development
AI applications understanding
Collaboration skills

Education

Bachelor or Master in computer science or related area
Job description
Overview

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities
  • Participate in the entire software development lifecycle, encompassing all stages from requirements analysis to test planning, execution, defect tracking, through to product release and maintenance.
  • Create comprehensive and effective test strategies and hands-on testing to ensure the accuracy, reliability, and performance of AI and data applications.
  • Root cause analysis of test failures and product issues in an effective manner, and drive optimization for future enhancements.
  • Design and develop internal tools leveraging AI technology to improve engineering and testing work efficiency.
Requirements
  • Bachelor or Master in computer science, computer engineering or related area.
  • At least 3+ years of software QA engineering experiences.
  • Full cycle testing with test planning and both manual/automation execution.
  • Solid Java coding skills, and experienced in automation or QA tools development.
  • Good understanding in AI applications and LLM prompt engineering techniques. Experiences in LLM development or eval is a plus.
  • Excellent self-driven and ownership with good deliverables.
  • Eager to learn, be curious about AI and new technologies of LLM.
  • Good communication and collaboration skills.
Why Binance
  • 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)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.