Binance Accelerator Program - Full Stack Engineer (Backend Oriented) Fully Remote

As a Backend Engineer in the Binance Accelerator Program, you'll work directly on the Agent Runtime and AI infrastructure behind Binance AI Pro. You'll collaborate with experienced Backend, Data Science, and Algorithm engineers to build the next generation of AI-native experiences within Binance, turning ideas from prototype through benchmark to production systems that impact millions of users.

What you'll do

• 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 and 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 and 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, 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

What you bring

• Strong Python or Java programming skills and solid software engineering fundamentals
• Strong understanding of algorithms, data structures, and problem solving; ability 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 of understanding why something fails rather than just making it work

Nice to have

• Experience with Agent frameworks such as LangGraph, LangChain, AgentScope, LlamaIndex, or similar
• Experience with MCP, Tool ecosystems, or Agent Runtime
• Experience building Benchmark, Evaluation, or 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 we offer

• Ship real features to a production AI Agent used by Binance users
• Work on the Agent Runtime and AI infrastructure, not just application-layer development
• Learn from senior Backend, Data Science, and Algorithm engineers
• Gain hands-on experience across the modern LLM application stack: Agent Runtime, RAG, Tool Calling, Evaluation, LLMOps, and AI Safety
• Own meaningful engineering projects end-to-end, from problem definition through implementation, evaluation, and production
• Competitive salary and company benefits
• Remote-first, work-from-home arrangement

About Binance

Binance is a leading global blockchain ecosystem and the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by 300+ million people in 100+ countries, Binance provides industry-leading security, trading infrastructure, and a portfolio of digital-asset products across trading, finance, education, research, payments, and institutional services.