Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль хорошо описана и сочетает разработку production-систем с актуальной интеграцией ИИ, а продуктовый scale-up предлагает конкретные возможности для обучения и гибкие условия.
Актуальный стек
Понятная зона ответственности
Бюджет на развитие
Энергетические технологии
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Systems and Automation Engineer (AI): Building robust, containerized production web services, customer onboarding tools, KYC verification pipelines, and LLM-powered agentic workflows with an accent on systems integration, reliable backend engineering, and MCP integrations. Focus on designing multi-step agents, connecting LLMs to internal APIs and databases, and operating services through testing, deployment, monitoring, and iteration.
Location: Munich, Bavaria, Germany; hybrid work with flexibility to work from home or abroad.
Company
hirify.global is a Munich-based scale-up operating Europe’s largest over-the-counter trading platform for energy and environmental commodities, digitizing energy markets for traders and companies.
What you will do
Transform manual, spreadsheet-based, and brittle low-code workflows into resilient, version-controlled production web services with APIs, databases, authentication, and CI/CD.
Build and operate customer-facing and internal tools, including onboarding portals, approval engines, KYC and document verification pipelines, and administrative services.
Design LLM-powered services, multi-step agentic workflows, and MCP servers connecting language models with internal APIs, SaaS tools, and databases.
Use AI coding agents to deliver backend and full-stack systems and promote reusable agentic engineering practices across the engineering team.
Own services from stakeholder discovery and architecture through testing, containerized deployment, monitoring, and iteration.
Requirements
3–5+ years of professional experience building, testing, and operating production backend or full-stack web services.
Strong proficiency in Java, Python, TypeScript/Node.js, or Go.
Daily experience with AI coding tools such as Claude Code, Cursor, or Copilot, with the judgment to review, validate, secure, and maintain generated code.
Hands-on experience integrating major LLM APIs, including Anthropic Claude, OpenAI, or Google Gemini, with structured outputs, function/tool calling, RAG, evaluation frameworks, and agent protocols such as MCP.
Strong knowledge of REST APIs, webhooks, relational databases and SQL/PostgreSQL, data modeling, event-driven architecture, Docker, Linux, and CI/CD on AWS or GCP.
Ability to build functional web interfaces or internal and customer portals using React, Next.js, or modern UI frameworks.
Ability to distinguish appropriate LLM-agent use cases from deterministic implementations and build maintainable production services.
Ability to work directly with engineering, operations, and customer-facing stakeholders to turn operational bottlenecks into software solutions.
Excellent written and spoken English required.
Nice to have
Experience building developer productivity tools, CLI utilities, Slack apps, or internal developer portals.
Familiarity with Temporal, n8n, Kafka, or message queues.
Exposure to B2B SaaS, FinTech, EnergyTech, or regulated customer onboarding and approval workflows.
Culture & Benefits
Hybrid and workation flexibility, balancing office connection with working from home or abroad.
28 days of annual leave, plus a €2,000 annual learning and development budget and five dedicated Level Up days for full-time employees.
Entrepreneurial, impact-driven culture with flat hierarchies, high autonomy, and an AI-first working environment.
Commute and wellness support, including covered gym memberships and paid transportation for office days.
International, inclusive team with language classes, modern dog-friendly offices, and premium hardware.
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