Backend Engineer – AI Pro, Agent Infrastructure

🕒 July 29

🇸🇬 Singapore – Remote

👨‍🎓 Internship

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Binance

WebsiteLinkedInAll Job Openings

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 core components of the Agent Runtime, including intent routing, query rewriting, RAG, tool/skill orchestration, and multi-step agent workflows • Design and optimize Tool Server / Tool Calling capabilities, including tool discovery, execution, result handling, and integration with web search, market data, and internal services • Develop evaluation datasets and evaluation harnesses to measure routing accuracy, answer quality, tool-use performance, and agent reliability • Investigate and improve agent quality through failure analysis, regression detection, prompt/workflow optimization, and guardrail effectiveness • Improve system observability and reliability through tracing, metrics, logging, dashboards, and production monitoring • Debug issues across asynchronous services and agent pipelines • Build integration tests using mocked LLM responses and replayable evaluation cases • Collaborate with Backend, Data Science, and Algorithm engineers to experiment, benchmark, and bring AI capabilities into production • Turn ideas from prototype to benchmark to production • Deliver meaningful engineering projects from problem definition through implementation, evaluation, and production

🎯 Requirements

• Current university student or recent graduate • Strong Python programming skills and solid software engineering fundamentals • Strong understanding of algorithms, data structures, and problem solving • Hands-on experience with LLM applications or agent systems through research, coursework, internships, or projects • Familiarity with RAG, Tool Calling, Function Calling, Prompting, agent workflows, or LLM evaluation • Comfortable working with real codebases, APIs, asynchronous services, testing, CI/CD, and code review • Strong debugging and analytical ability • Experience with agent frameworks such as LangGraph, LangChain, AgentScope, LlamaIndex, or similar (nice-to-have) • Experience with MCP, tool ecosystems, or Agent Runtime (nice-to-have) • Experience building benchmark, evaluation, or LLM testing infrastructure (nice-to-have) • Familiarity with vector search, embeddings, RAG evaluation, or LLM observability (nice-to-have) • Experience with Redis, Kafka, Docker, Kubernetes, or cloud-native systems (nice-to-have) • Exposure to LLM security, guardrails, prompt-injection defense, or tool-use safety (nice-to-have) • Experience with model inference, latency optimization, or cost optimization (nice-to-have)

🏖️ Benefits

• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) • Opportunities for career growth and continuous learning • Networking and development opportunities • Professional network development and transferable skills • Ship real features to a production AI Agent used by Binance users • Learn from senior Backend, Data Science and Algorithm engineers • Own meaningful engineering projects end-to-end