Binance
1001 - 5000 employees
Founded 2017
₿ Crypto
💳 Fintech
💰 Initial Coin Offering on 2020-12
Crypto • Fintech
Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.
AI Backend Engineer
🔥 58 minutes ago
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Binance
1001 - 5000 employees
Founded 2017
₿ Crypto
💳 Fintech
💰 Initial Coin Offering on 2020-12
Crypto • Fintech
Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.
📋 Description
• Build and improve pieces of the agent runtime: intent routing, query rewrite, RAG/FAQ answering, tool/skill orchestration (L0–L6 loop). • Extend the Tool Server — add and optimize tools (web search, market data, report APIs), improve tool-call efficiency and output quality. • Strengthen evaluation: write eval datasets and harnesses, measure intent-routing accuracy and answer quality, catch regressions before release • Improve observability: traces, metrics, logging (Opik/Pinpoint), production dashboards and alerts. • Fix bugs across the pipeline (routing, skill loading, guardrail false-triggers) and write integration tests with mock-LLM cassette replay.
🎯 Requirements
• Solid Python and clean coding habits; comfortable in a real service codebase with CI, code review, and typing. • Understanding of LLM application basics — prompting, RAG, tool/function calling, or agent frameworks (from coursework, projects, or internships). • Able to reason about correctness and write tests; debug across async/services. • Available for a sustained internship and eager to iterate quickly on feedback. • Experience with an agent framework (AgentScope / LangChain / LlamaIndex or similar). • Familiarity with vector search / embeddings, evaluation frameworks (Opik, ragas), or LLM observability. • Exposure to Kafka, Redis/Lindorm, S3, config systems (Apollo), or Docker/K8s. • Interest in evaluation, guardrails/safety (prompt-attack defense), or latency/cost optimization.
🏖️ Benefits
• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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