Java Backend Engineer (AI/LLM Chatbot, Customer Service)

Description

Job Overview

• Role: Java Backend Engineer (AI/LLM Chatbot, Customer Service)
• Company: Binance
• Location: Philippines
• Employment Type: ['Full-Time']
• Experience Level: Senior
• Category / Department: ['Software Engineering']
• Salary: Competitive / Not Disclosed — confirm during interview
• Listing Source: Jobicy

Job Description

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.

If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.

Responsibilities

• Development and implementation Backend service for the AI Chatbot products.
• Build large scale software system, which can impact daily life of millions of customers.
• Explore and integrate the LLM applications to improve chatbot performance and user experience.
• Underlying infra/arch upgrade performance tuning, online incidents troubleshooting, and system refactoring.
• Write high-quality, clean, and maintainable code using engineering best practices guide junior engineers’ daily work and do knowledge share, etc.

Requirements

• Bachelor's/Master's degree in computer science, engineering, or equivalent industry experience.
• Over 8 years of professional experience in a related field.
• Core Java programming skills and willingness to do hands on coding are a must.
• Knowledge and experience with Python and familiar with collaborating with algorithm engineers.
• Capable to cope with stress, and quickly learn new knowledge.
• Good cross-team communication skills.
• Familiarity with design patterns and system design required to solve common software programming challenges.
• Knowledge and experience with Chatbot & Custom service Bot is considered as a plus.
• Knowledge and experience with LLM usage is considered as a plus.
• Knowledge and experience with data job like Flink/Spark are considered as a plus.

Working at Binance• Be a part of the world’s leading blockchain ecosystem that continues to grow and offers excellent career development opportunities• Work alongside diverse, world-class talent in an environment where learning and growth opportunities are endless• Tackle fast-paced, challenging and unique projects• Work in a truly global organization, with international teams and a flat organizational structure• Competitive salary and benefits• Flexible working hours, remote-first, and casual work attire

Learn more about how Binancians embody the organization’s core values, creating a unified culture that enables collaboration, excellence, and growth. Apply today to be a part of the Web3 revolution! 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.

Salary & Compensation

The salary for this position has not been publicly disclosed. Compensation is typically determined based on your experience, skills, and interview performance. Use your research on industry benchmarks and the cost of living in the role's location to negotiate effectively.

In addition to base salary, many employers in this sector offer a comprehensive benefits package that may include:

• Annual or performance-based bonuses
• Health, dental, and vision insurance
• Provident Fund (PF) and Gratuity contributions (India)
• Paid Time Off (PTO), sick leave, and public holidays
• Professional development budget and learning allowances
• Stock options or Employee Stock Ownership Plans (ESOPs) at select companies
• Flexible or remote working allowances
• Parental leave and family health coverage

Note: The specific benefits offered by this employer should be confirmed during the offer stage. Not all benefits listed above may apply to every organisation or role type.

Work Arrangement

Type: On-Site / Full-Time

This is an on-site, full-time position. You will be expected to report to the office or designated work location during standard business hours, Monday through Friday. Some companies offer flexible start and end times or occasional work-from-home days at the manager's discretion. The company fosters a collaborative environment with open workspaces, dedicated meeting rooms, and structured team events.

Typical Interview Process

While each organisation structures its hiring differently, candidates for this type of role typically go through the following stages:

1. Resume / Application screening by the recruiting team
2. Technical phone or video screening (30–45 min) covering fundamentals
3. Take-home coding assignment or technical assessment
4. Two to three rounds of technical interviews (algorithms, system design, or domain knowledge)
5. Behavioral / culture-fit interview with the hiring manager
6. Offer discussion and reference checks

Tip: Candidates are encouraged to review common data structures, algorithms, and system design concepts before the technical rounds.

About the Employer

Binance is the organisation posting this opportunity. While full company details are available on the original job listing, here is what you should research before applying:

• Company size and culture: Review the company's LinkedIn profile, Glassdoor reviews, and their official website to understand team size, work culture, and employee satisfaction.
• Products and services: Familiarise yourself with what the company builds, sells, or delivers. Being knowledgeable about their offerings will set you apart during interviews.
• Recent news: Search for any recent fundraising, acquisitions, product launches, or leadership changes — these often come up in interviews and signal company health.
• Location and offices: The role is based in or around Philippines. Confirm office address, remote policy details, and travel requirements during the process.
• Where this listing was found: This job was sourced from Jobicy.

How to Apply & Preparation Tips

To apply for the Java Backend Engineer (AI/LLM Chatbot, Customer Service) position, follow these steps:

1. Tailor your resume: Customise your CV to match the specific requirements listed in the job description. Use keywords from the posting to pass Applicant Tracking System (ATS) filters.
2. Write a compelling cover letter: Even if not mandatory, a concise cover letter demonstrating your enthusiasm and fit for the role significantly improves your chances.
3. Apply via the original listing: Use the apply link on the original job post to submit your application. Avoid applying through third-party channels that may delay or lose your submission.
4. Prepare for phone screening: Be ready for an initial call within 3–7 business days of applying. Have your resume and a quiet space ready.
5. Follow up professionally: If you haven't heard back in 7–10 business days, a brief, polite follow-up email to the recruiter is acceptable and often appreciated.

Disclaimer: This listing is aggregated from a public job board for informational purposes. JobSetuu does not guarantee the accuracy or current availability of this position. Always verify the details on the employer's official careers page before applying.