Responsibilities
- Design, build, and optimize scalable backend services supporting both traditional search and AI-powered search systems.
- Own the architecture of search-related systems to ensure high reliability, performance, and scalability.
- Develop reusable backend frameworks and infrastructure to accelerate search and AI product development.
- Collaborate closely with data scientists and AI engineers to enable LLM-powered search, ranking, and agent capabilities.
- Continuously improve search performance, including indexing, retrieval, ranking, and latency optimization.
- Translate business needs into scalable search solutions.
- Drive execution and deliver results in complex or evolving environments.
Requirements
- 5+ years of backend engineering experience.
- Strong proficiency in Java and Python.
- Experience designing and building large-scale distributed systems.
- Hands-on experience with search technologies (e.g., Elasticsearch, vector search, hybrid retrieval) is preferred.
- Experience with 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 (e.g., Dify, LangChain, Mastra, OpenAI Agents SDK).
- Familiarity with cloud infrastructure and scalable system design.
- Ability to deliver results in environments with ambiguity or evolving requirements.
Skills Required
- 5+ years of backend engineering experience
- Strong proficiency in Java and Python
- Experience designing and building large-scale distributed systems
- Experience with big data processing frameworks such as Flink or Spark
- Familiarity with AI-powered search technologies, including LLM-based search and RAG architectures
- Hands-on experience with search technologies (e.g., Elasticsearch, vector search, hybrid retrieval)
- Familiarity with agent frameworks (e.g., Dify, LangChain, Mastra, OpenAI Agents SDK)
- Familiarity with cloud infrastructure and scalable system design
- Ability to deliver results in ambiguous or evolving environments
Binance Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Binance and has not been reviewed or approved by Binance.
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Career-Linked Recognition & Rewards — Performance-linked bonuses can be sizable in favorable crypto cycles, lifting total compensation. Attractive packages in engineering and specialized roles indicate strong rewards for in-demand skills.
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Flexible Benefits — Remote-first flexibility and work-from-anywhere options add meaningful value to the overall rewards package. Flexible schedules and location independence are presented as core perks.
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Retirement Support — Binance.US includes a 401(k) as part of its benefits. This provides a conventional retirement pillar alongside cash and bonus components.
Binance Insights
What We Do
Binance is the world’s leading blockchain and cryptocurrency infrastructure provider with a financial product suite that includes the largest digital asset exchange by volume. Trusted by millions worldwide, the Binance platform is dedicated to increasing the freedom of money for users, and features an unmatched portfolio of crypto products and offerings, including: trading and finance, education, data and research, social good, investment and incubation, decentralization and infrastructure solutions, and more. For more information, visit: https://www.binance.com





