Binance Accelerator Program - Backend Engineer (AI Pro / Agent Infrastructure)

Binance AI Pro – Backend Engineer Intern (Accelerator Program)

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by more than 320 million people in 100+ countries, Binance is known for security, transparency, trading engine speed, investor protections, and a broad portfolio of digital asset products and offerings across trading, finance, education, research, social good, payments, institutional services, and Web3.

Binance Accelerator Program (BAP) is a 3–6 month internship program designed for early-career talent to gain firsthand experience in the rapidly expanding digital assets space. Interns develop skills at Binance, build transferable experience through networking and development opportunities, and learn what it’s like to work at the world’s leading blockchain ecosystem.

About the Team

Binance AI Pro is building the next generation of AI-native experiences within Binance. At the core is an agentic system that can understand user intent, reason through multi-step tasks, retrieve information, call tools, and safely execute actions across Binance’s ecosystem.

As a Backend Engineer Intern, you will work on the Agent Runtime and AI infrastructure behind these experiences—from intent routing and tool orchestration to evaluation, observability, and reliability. This role is ideal for technical students who enjoy deep problem-solving and are excited by LLM agents, systems, algorithms, and experimentation.

Responsibilities

• 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 using tracing, metrics, logging, dashboards, and production monitoring.
• Debug issues across asynchronous services and agent pipelines, and build integration tests using mocked LLM responses and replayable evaluation cases.
• Work closely with Backend, Data Science, and Algorithm engineers to experiment, benchmark, and bring AI capabilities into production.

Requirements (Must Have)

• Strong Python programming skills and solid software engineering fundamentals.
• Strong understanding of algorithms, data structures, and problem-solving; able to reason about system behavior and trade-offs.
• Hands-on experience with LLM applications or agent systems through research, coursework, internships, or projects.
• Familiarity with concepts such as RAG, tool calling, function calling, prompting, agent workflows, or LLM evaluation.
• Comfort working with real codebases, APIs, asynchronous services, testing, CI/CD, and code review.
• Strong debugging and analytical ability, with a mindset focused on understanding why failures occur—not just making things work.

Nice-to-Have

• Experience with agent frameworks such as LangGraph, LangChain, AgentScope, LlamaIndex, or similar.
• Experience with MCP / tool ecosystems / Agent Runtime.
• Experience building benchmark/evaluation/LLM testing infrastructure.
• Familiarity with vector search, embeddings, RAG evaluation, or LLM observability.
• Experience with Redis, Kafka, Docker, Kubernetes, or cloud-native systems.
• Exposure to LLM security, guardrails, prompt-injection defense, or tool-use safety.
• Experience with model inference, latency optimization, or cost optimization.

What You’ll Get

• Ship real features to a production AI agent used by Binance users.
• Work on Agent Runtime and AI infrastructure rather than only application-layer development.
• Learn from senior Backend, Data Science, and Algorithm engineers.
• Gain hands-on experience across the modern LLM application stack, including Agent Runtime, RAG, tool calling, evaluation, LLMOps, and AI safety.
• Own meaningful engineering projects end-to-end—from problem definition to implementation, evaluation, and production.

Who May Apply

• Current university students and recent graduates.
• Terms of employment/engagement are subject to contract and local applicable laws.

Why Binance

• Shape the future with the world’s leading blockchain ecosystem.
• Collaborate with world-class talent in a user-centric global organization with a flat structure.
• Tackle unique, fast-paced projects with autonomy in an innovative environment.
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
• Competitive salary and company benefits.
• Work-from-home arrangement (arrangement may vary depending on the business team and work nature).

Equal Opportunity

Binance is committed to equal employment opportunities and believes a diverse workforce is fundamental to its success.