Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко очерченная роль в растущей продуктовой компании даёт возможность внедрять AI-агентов в реальные продукты, хотя в быстрорастущем стартапе приоритеты могут меняться.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Software Engineer – MCP & Agents (AI/MCP): Building MCP tools, agent infrastructure, and AI-driven features for a cloud-based transport management platform with an accent on agentic workflows, production AI systems, and logistics automation. Focus on designing MCP interfaces, deploying reliable AI components, and developing document extraction, matching, chatbots, and automated booking capabilities.
Location: Ghent, Belgium; hybrid working setup.
Company
hirify.global is a SaaS Transport Management Platform for logistics operations, with offices in London, Ghent, and Chicago.
What you will do
Build and expand MCP tools that enable AI agents to interact with the core transport management platform.
Develop and maintain internal agent infrastructure and agentic workflows.
Collaborate with customer success, engineering, product, and domain teams to turn logistics challenges into practical AI workflows.
Monitor, maintain, and improve production AI systems, optimizing cost, latency, reliability, scalability, and observability.
Bring AI prototypes into production and develop features such as document extraction, matching flows, quality checks, chatbots, and automated bookings.
Contribute to hirify.global’s long-term AI strategy and roadmap while identifying opportunities to improve the product.
Requirements
Experience in software engineering, applied AI, or similar technical roles.
Strong programming skills, preferably in Python and/or modern backend languages.
Experience designing MCP interfaces.
Experience with AI agent toolchains and frameworks such as LangChain/LangGraph, AgentConnect, or FastMCP.
Ability to experiment quickly, iterate rapidly, and validate assumptions.
Strong problem-solving skills and the ability to work autonomously in a fast-paced environment.
Clear communication skills and the ability to collaborate with engineers, product managers, and domain experts.
Nice to have
Experience deploying and operating AI/ML systems in a production environment.
Experience with document processing, NLP, or conversational AI.
Culture & Benefits
Real impact and ownership in a growing international scale-up.
Supportive and collaborative team culture.
Hybrid working setup with flexibility and trust.
Opportunities to learn, grow, and expand technical knowledge.
Competitive salary and benefits package.
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