Big Data Engineer, AI Services

Asia +7
Full time
Remote
Compensation is not specified
Role
Data Engineer
Description

Binance is a top global blockchain company renowned for operating the largest cryptocurrency exchange in the world. Trusted by over 300 million individuals across 100+ countries, we are known for our industry-leading security measures, transparent handling of user funds, fast trading engine, deep liquidity, and an extensive range of digital asset products. From trading and finance to education, research, payments, institutional services, Web3 features, and more, Binance offers a wide array of services. Our mission is to utilize the potential of digital assets and blockchain technology to construct an all-encompassing financial ecosystem that promotes financial inclusivity and enhances access to financial services worldwide.

We are looking for a seasoned Big Data Engineer to take charge of developing scalable, high-performance backend services that primarily focus on creating and enhancing traditional search and AI-driven search capabilities. In this role, you will collaborate with diverse teams to build robust search systems that serve key business needs effectively.

Your role entails leveraging robust backend expertise to deliver reliable and efficient solutions that drive operational excellence at Binance.

Responsibilities

  • Design, construct, and optimize scalable backend services that cater to both traditional and AI-powered search systems.
  • Lead the architecture of search-related systems to ensure they are highly reliable, performant, and scalable.
  • Create reusable backend frameworks and infrastructure to expedite the development of search and AI products.
  • Collaborate closely with data scientists and AI engineers to enable LLM-powered search, ranking, and agent capabilities.
  • Constantly enhance search performance, encompassing indexing, retrieval, ranking, and latency optimization.
  • Transform business requirements into scalable search solutions.
  • Execute and deliver outcomes effectively in complex or evolving circumstances.

Requirements

  • Possession of 6+ years of backend engineering experience.
  • Proficiency in Java and Python.
  • Experience in designing and constructing large-scale distributed systems.
  • Hands-on experience with various search technologies like Elasticsearch, vector search, or hybrid retrieval is advantageous.
  • Exposure to big data processing frameworks such as Flink or Spark for real-time or batch data processing.
  • Familiarity with AI-powered search technologies, including LLM-based search, RAG architectures, or agent frameworks like Dify, LangChain, Mastra, or OpenAI Agents SDK.
  • Understanding of cloud infrastructure and scalable system design.
  • Ability to deliver results in ambiguous or changing environments.

Why Binance

  • Contribute to shaping the future with one of the leading blockchain ecosystems globally.
  • Collaborate with top-tier talent within a user-centric, internationally diverse organization structured with a flat hierarchy.
  • Engage in unique, fast-paced projects with autonomy in an innovative work environment.
  • Flourish in a results-oriented workplace offering career growth opportunities and continuous learning.
  • Competitive salary and comprehensive company benefits.
  • Flexible work-from-home arrangements tailored based on team workflow requirements.

Binance upholds a commitment to being an equal opportunity employer and believes that diversity in the workforce is integral to its success. Submission of a job application implies acknowledgement and agreement to the Candidate Privacy Notice. Artificial intelligence tools may be utilized in the hiring process, such as reviewing applications, analyzing resumes, or evaluating responses, to support the recruitment efforts. However, final hiring decisions are always human-driven. For more details on data processing, reach out to the organization.

Skills Required
Avatar
Binance
Website
Not specified
Company size
Not specified
Location
United States
Description
Not specified

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