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Чётко описанная senior-позиция в быстро развивающейся сфере AI-агентов с современными инженерными практиками; при оценке важно учесть широкий full-stack охват и работу в офисе в Китае.
?Широкий охват
Современный стек
Фокус на AI
?Офис в Китае
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Machine Learning Engineer — AI Agent Platform (Python/TypeScript/LLM): Building agent orchestration services, enterprise integrations, and full-stack workflow features with an accent on asynchronous execution, secure authorization, and reliable task recovery. Focus on designing model and tool execution loops, managing durable state and partial failures, and evaluating agent quality, latency, and cost.
Location: On-site in China; other location: Shanghai, China
Company
hirify.global develops software and technology solutions.
What you will do
Build and improve agent harnesses with model and tool execution loops, context management, structured outputs, multi-step workflows, task state, asynchronous dispatch, and human approval.
Develop reusable tools and connectors for enterprise APIs, webhooks, and services, handling data mapping, authorization, rate limits, integration errors, and system dependencies.
Design Python backend services, secure REST APIs, PostgreSQL data models, and responsive TypeScript web interfaces for agent and workflow features.
Protect credentials and access boundaries while implementing execution isolation, audit logging, concurrency control, retries, idempotency, cancellation, recovery, and failure tracing.
Maintain automated and integration tests, CI/CD, and agent evaluations covering task success, output quality, latency, and cost.
Collaborate with product, design, IT, SRE, and business system owners through code reviews, documentation, and technical guidance.
Requirements
5+ years of professional software development experience, including production applications across backend and frontend.
Strong Python skills with FastAPI or similar frameworks, asynchronous programming, REST APIs, SQLAlchemy/Pydantic or equivalent tooling, and PostgreSQL data modeling.
Hands-on experience with LLM tool calling, agent execution, or workflow orchestration, including practical design decisions, context and state management, and failure handling.
Experience integrating enterprise or third-party systems, including API contracts, data mapping, pagination, rate limits, and retries.
Understanding of OAuth 2.0/OIDC, authorization, role-based access control, and secure credential handling.
Ability to build reliable asynchronous workflows using task state, concurrency control, idempotency, and recovery from partial failures.
Proficiency in TypeScript and Vue or React, including routing, state management, and reusable components; willingness to adapt is essential.
Experience with automated and integration testing, Git, CI/CD, and Docker, plus troubleshooting with logs and metrics and evaluating agents against representative tasks.
Clear communication with global, cross-functional teams and ability to explain technical tradeoffs to non-technical stakeholders.
Nice to have
Experience extending agent harnesses, SDKs, or orchestration frameworks such as LangGraph, LangChain, or custom implementations.
Development of MCP servers, connectors, plugins, or SDKs, including integrations with Microsoft Graph, Teams, SharePoint, Jira, ERP, or similar systems.
Experience with long-running workflows, human approval, durable task state, recovery, or agent evaluation frameworks.
Hands-on cloud deployment and operations experience, preferably AWS; familiarity with caching, queues, NoSQL databases, or vector search.
Electron development or plugins for desktop and productivity applications.
Culture & Benefits
Full-time, on-site work arrangement in China.
Cross-functional collaboration with product, design, IT, SRE, and business system owners.
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