Назад
2 дня назад

Full Stack Engineer (AI Pro / Agent Infrastructure)

Формат работы
remote (только APAC)
Тип работы
fulltime
Грейд
trainee
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Full Stack Engineer (AI Pro / Agent Infrastructure) (Python/LLM Agents): Building and improving agent runtime components, tool-calling systems, evaluation infrastructure, and observability for production AI experiences with an accent on RAG, intent routing, asynchronous services, and reliability. Focus on designing multi-step agent workflows, benchmarking model behavior, debugging agent pipelines, and moving AI capabilities from prototype to production.

Location: Fully remote, Asia

Company

Binance is a global blockchain ecosystem offering cryptocurrency trading, financial services, payments, education, research, and Web3 products.

What you will do

  • Build and improve Agent Runtime components for intent routing, query rewriting, RAG, tool orchestration, and multi-step agent workflows.
  • Design Tool Server and Tool Calling capabilities for tool discovery, execution, result handling, web search, market data, and internal services.
  • Develop evaluation datasets and harnesses to measure routing accuracy, answer quality, tool use, and agent reliability.
  • Improve agent quality through failure analysis, regression detection, prompt and workflow optimization, and guardrails.
  • Strengthen observability and reliability with tracing, metrics, logging, dashboards, monitoring, and integration tests.
  • Collaborate with Backend, Data Science, and Algorithm engineers to benchmark and bring AI capabilities into production.

Requirements

  • 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.
  • Comfort working with codebases, APIs, asynchronous services, testing, CI/CD, and code review.
  • Current university students and recent graduates may apply.

Nice to have

  • Experience with LangGraph, LangChain, AgentScope, LlamaIndex, MCP, or similar agent frameworks and tool ecosystems.
  • 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, model inference, or latency and cost optimization.

Culture & Benefits

  • Three- to six-month accelerator internship with networking and professional development opportunities.
  • Opportunity to ship features to a production AI agent used by Binance users.
  • Hands-on experience across Agent Runtime, RAG, Tool Calling, evaluation, LLMOps, and AI safety.
  • Work with Backend, Data Science, and Algorithm engineers in a global, flat, results-driven organization.
  • Work-from-home arrangement; details may vary according to the business team's work.

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