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

• 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 , including 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, 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/Java 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 .

• Able to work comfortably with real codebases, APIs, asynchronous services, testing, CI/CD, and code review.

• Strong debugging and analytical ability, with a mindset of "understand why it fails, not just make it 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 the 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: Agent Runtime, RAG, Tool Calling, Evaluation, LLMOps and AI Safety .

• Own meaningful engineering projects end-to-end, from problem definition → implementation → evaluation → production .

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 (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice .

• Backend
• Engineering

Source: Binance careers page