Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Вакансия предлагает практическую работу с GenAI в продакшене, понятную ответственность и сильную поддержку обучения, но клиентские проекты могут приносить смену приоритетов и давление.
Темп клиентских проектов
Современный стек ИИ
Ответственность за результат
Поддержка развития
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Forward Deployed AI Engineer (GenAI): Building and deploying production-ready GenAI and agentic AI solutions for client environments with an accent on RAG architectures, intelligent assistants, and AI-enabled workflows. Focus on integrating data, APIs, cloud platforms, governance, monitoring, and measurable business outcomes while balancing speed, quality, cost, security, and maintainability.
Location: Brussels, Belgium
Company
hirify.global is an international data, analytics, consulting, and AI group with over 30 years of experience, 2,800 employees, and operations across 28 countries, focused on operationalizing intelligent systems.
What you will do
Co-create AI solutions with business and technical stakeholders through workshops, rapid iterations, and hands-on delivery.
Identify, qualify, and secure the data required for each use case in collaboration with Data Engineers.
Translate use cases into production-ready GenAI and agentic AI solutions, including RAG architectures, intelligent assistants, and AI-enabled workflows.
Prototype, test, deploy, monitor, evaluate, and improve solutions in real client environments using user and domain-expert feedback.
Collaborate with Data Engineers, Software Engineers, Architects, Governance experts, Business Value Advisors, and Service Delivery Managers.
Define measurable success criteria, balance technical and delivery trade-offs, and create documented, governed, reusable patterns and accelerators.
Requirements
5–10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
Hands-on experience delivering AI, GenAI, or software solutions into production and working directly with clients or complex stakeholder environments.
Evidence of turning complex use cases into adopted, measurable solutions.
Degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
Strong Python development, API integration, and modern software-engineering skills.
Hands-on experience with Large Language Models, GenAI architectures, prompt workflows, model/provider selection, RAG, embeddings, vector search, AI agents, and agentic workflows.
Experience integrating AI into enterprise systems, APIs, and business workflows.
Experience with at least one major cloud platform: Azure, AWS, or GCP.
Working knowledge of Docker, Git, CI/CD, production deployment, monitoring, evaluation, MLOps/LLMOps, security, data privacy, governance, and responsible AI.
Nice to have
Experience with multimodal models, fine-tuning, model adaptation, or open-source LLMs.
Front-end or full-stack experience with technologies such as Node or React.
Consulting or professional-services experience.
Exposure to regulated industries or enterprise governance requirements.
Familiarity with LangChain, LlamaIndex, LangGraph, Semantic Kernel, AutoGen, or comparable frameworks.
Culture & Benefits
Work on impactful data, digital, and AI projects across industries and geographies.
Digital learning platform with over 30,000 courses, dedicated coaching, communities, regular check-ins, and a training budget.
Mobility budget or car with fuel/charging, daily and monthly net allowances, eco vouchers, hospitalisation and group insurance, and a flexible bonus scheme.
Culture centered on collective intelligence, reliability, pragmatism, entrepreneurial spirit, ownership, feedback, and continuous development.
Brussels offices are available when not working at a client site or from home.
Hiring process
Conversation with the Talent team about background, expectations, and the hirify.global opportunity.
Technical and delivery-focused conversation with the hiring team using a real or representative challenge.
Final conversation with senior leadership or the relevant business lead about values, culture, and longer-term ambitions.
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