aipythonjavascriptragci cdmachine learningpytorchtensorflowgenerative aiagentic ai
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$72к$103кмедиана$149к
50 в выборке
На СНГ рынке: $4к/мес ($3к - $5.1к)
79
Хорошая вакансия
развернуть
Company hidden предлагает понятную инженерную роль с современными задачами в GenAI и сильной продуктовой средой, но зарплата не указана, а работа проходит в офисе в Бухаресте.
Кликните для подробной информации
Зарплата не указанаСовременный стек ИИПонятные задачиПродуктовая среда
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (Generative AI/Agentic AI): Design and deploy prototypes, MVPs, and scalable AI components for online gaming services with an accent on LLM applications, data preparation, and evaluation. Focus on building RAG and agentic workflows, automating LLM processes through CI/CD, and managing the responsible adoption of emerging AI technologies.
Location: Office-based in Bucharest, Romania
Company
hirify.global develops online platform solutions and connected experiences for millions of players across its online games.
What you will do
Design, build, and deploy end-to-end prototypes, MVPs, and scalable components using Generative AI and Agentic AI technologies, including prompting, guardrails, agents, and chunking.
Collaborate with domain experts, data scientists, software developers, and cloud experts to integrate solutions and deliver projects.
Collect, preprocess, clean, and analyze large datasets for training, fine-tuning, and evaluation.
Test and evaluate LLM-driven applications using LLM-as-a-judge approaches, metrics, traces, and user-satisfaction data, then propose improvements.
Build and support GitLab CI/CD automation for RAG, automated evaluations, and resource deployment.
Document and share technical knowledge, assess emerging AI technology risks, and contribute to workshops, presentations, and events.
Requirements
Deep understanding of data structures, algorithms, and software engineering principles applied to Python and JavaScript.
Deep understanding of machine learning fundamentals, including deep learning concepts and popular ML libraries such as TensorFlow and PyTorch.
Familiarity with Generative AI and Agentic AI techniques, including RAG, function calling, and agentic workflows.
Knowledge of DevOps and LLMOps tools and practices, including model serving, versioning, and CI/CD.
Knowledge of RESTful APIs, backend technologies, and databases, including FastAPI, PostgreSQL, and MongoDB.
Experience with a major cloud provider such as AWS, Azure, or similar.
Motivation, curiosity, eagerness to explore technologies, strong communication skills, and the ability to explain complex concepts to diverse audiences.
Collaborative, open to feedback, organized, and proactive, with the ability to balance innovation and delivery.
Application must include an updated CV highlighting education, experience, skills, and games shipped.
Culture & Benefits
Work within an R&D team focused on online services and long-term digital ecosystem solutions.
Contribute to a supportive, cross-functional environment with knowledge sharing and internal collective intelligence.
Explore emerging AI and data science technologies while supporting responsible and ethical adoption.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →