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Это хорошо очерченная роль AI-инженера в крупном продуктовом маркетплейсе с задачами по внедрению GenAI в production и сильными условиями гибкости и льгот; без данных о компенсации сложнее сравнить предложение целиком.
Современный стек
Понятные задачи
Сильные условия
Крупный продукт
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (GenAI): Building and deploying production-grade AI systems, intelligent agents, and agentic workflows for a high-traffic online classifieds platform with an accent on machine learning, GenAI, Python, AWS, and AI ethics. Focus on translating business needs into robust AI solutions, designing multi-agent systems with LangGraph, and assuring the quality and safety of AI outputs.
Location: Spain; hybrid working model
Company
hirify.global is Germany’s leading online classifieds marketplace, reaching more than 36 million monthly users and operating as a sustainability-focused platform.
What you will do
Identify business needs and opportunities where Artificial Intelligence and Generative AI can create the greatest impact.
Design, build, and deploy production-grade AI systems, intelligent agents, and multi-agent workflows using frameworks such as LangGraph.
Apply machine learning and deep learning methods to develop solutions and assure the quality and robustness of AI outputs.
Collaborate with colleagues and stakeholders to productionize end-to-end ML solutions and translate business requirements into prototypes and implementations.
Contribute to the company’s AI strategy and roadmap and share knowledge with colleagues to strengthen the AI community.
Communicate AI concepts and solutions effectively to non-technical audiences while considering AI risks and ethics.
Requirements
Experience applying machine learning, including deep learning, to impactful business problems.
Experience designing, building, and deploying intelligent AI agents and multi-agent systems.
Experience applying Generative AI technologies and understanding their associated risks.
Proficiency in Python, including the ability to translate ideas into prototypes.
Experience working in a cloud environment such as AWS.
Experience with Agile philosophies such as Scrum and project management tools such as JIRA.
Strong interpersonal communication skills for stakeholder engagement, business-requirement discovery, and communication with non-technical audiences.
Robust ethical framework, critical-thinking skills, and commitment to staying current with AI advancements.
Nice to have
Backend engineering experience, including APIs, microservices, serverless systems, and SQL, NoSQL, or vector database integrations.
Understanding of distributed systems, high-availability architecture, and design patterns for performant production infrastructure.
Culture & Benefits
Hybrid work with flexible working time and 20 days of work from anywhere.
26 business days of paid annual holidays, additional parental leave for both parents, and extra paid leave for special occasions.
Private health insurance, Gym Pass support of up to 70% of membership fees, and a €40 monthly remote-working allowance.
Learning opportunities, a flat collaborative culture, and an international working environment.
Competitive compensation with base salary and annual bonus, plus tax-efficient remuneration options, corporate benefits, discounts, and a referral program.
Hiring process
The employer welcomes applications from candidates who do not meet every listed requirement.
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