About this role.
Binance is seeking a Senior Data/Java Engineer to develop backend services for AI chatbot products, integrating LLMs to enhance customer service. This role involves building large-scale systems, improving performance, and mentoring junior engineers. The ideal candidate has over 8 years of experience, strong core Java skills, Python collaboration expertise, and familiarity with data frameworks like Flink/Spark. This is a fast-paced, remote-first opportunity within a global blockchain ecosystem.
Role DNA
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Core skills
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Cover letter sample
Dear Hiring Manager,
I am excited to apply for the Data/Java Engineer position at Binance focused on AI/LLM chatbots for customer service. With over 8 years of experience building large-scale backend systems, I have deep expertise in Java and Python, and have successfully integrated LLM solutions into production environments to improve user experience.
My hands-on experience with data streaming frameworks like Flink and Spark, combined with a strong grasp of system design, aligns well with the challenges of this role. I am particularly drawn to Binance's mission of accelerating cryptocurrency adoption and would thrive in a fast-paced, remote-first culture.
Thank you for considering my application. I look forward to contributing to your global team.
Sample interview questions
I would use a microservices architecture with asynchronous message queues for request processing, implement caching for frequent queries, and integrate LLM APIs with rate limiting and fallback mechanisms. A distributed data pipeline using Flink would handle streaming data for real-time analytics and model improvements.
In a previous project, I integrated a fine-tuned LLM for customer support. Challenges included latency management, cost optimization, and ensuring reliable fallback responses. I addressed these by batching requests, implementing prompt caching, and designing a hybrid system with rule-based fallbacks for critical queries.
I would set up a streaming pipeline with Flink to ingest chat logs in real-time, extract intents and sentiment, and generate features for training data. Spark could be used for batch processing to retrain models and produce performance metrics. This enables continuous improvement of the chatbot's accuracy.
I focus on designing stateless services, using load balancing, implementing circuit breakers, and leveraging distributed caching. Additionally, I would use auto-scaling based on traffic patterns and perform regular load testing to identify bottlenecks. For critical services, multi-region deployment ensures resilience.
At my last company, I organized weekly tech talks and code reviews. I paired with junior engineers on complex tasks to guide them through system design and debugging. I also wrote documentation and created hands-on exercises to help them learn new technologies like Flink and Kafka.
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.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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