Strategic Overview
Data/ Java Engineer (AI/LLM Chatbot, Customer Service) at Binance is defined by the responsibilities and candidate requirements in the employer's listing.
The published role emphasizes work such as Development and implementation Backend service for the AI Chatbot products.
The role is listed for APAC with a remote working arrangement, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
Key Responsibilities & Objectives
- 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.
Required Qualifications & Candidate Blueprint
- 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.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly Development and implementation Backend service for the AI Chatbot products. — rather than a generic title alone.
Resume & Application Strategy
For the application, connect specific examples from your experience to the responsibilities and qualifications in the employer's description. Quantify outcomes from comparable work, and place the most relevant evidence near the top of the resume. When the employer explicitly names tools, platforms, leadership scope, or domain experience, use those source terms accurately and in context.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.