1 день назад
Senior AI Systems Fullstack Engineer (AI)
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Описание вакансии
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Looking for a Senior AI Systems Full-Stack Engineer
Location: EU
Employment Type: full time. longterm
English: B2
Contact:
We're looking for a Full-Stack Engineer to build scalable, intelligent data applications that combine modern web development, cloud infrastructure, and AI capabilities.
Tech Stack:
Backend: R (Shiny, Golem, R6), Plumber
Frontend: Bootstrap 5, HTML5, CSS3, JavaScript
Data: MariaDB (AWS RDS), S3, SQL
DevOps: GitHub Actions, Docker, Heroku / DigitalOcean
AI/ML: LLM APIs (OpenAI, Claude), ellmer (R), Python
What You'll Do:
Design and develop modular, production-grade applications with interactive dashboards and responsive user interfaces.
Structure scalable backend systems, implement clean architecture patterns, and ensure maintainability of complex applications.
Create polished, responsive UI using modern frameworks (Bootstrap, HTML/CSS, JavaScript), going beyond default templates.
Connect applications to databases and storage systems, optimize queries, and design efficient data pipelines.
Implement LLM-powered features such as chat interfaces, data assistants, and automated workflows.
Manage CI/CD pipelines and deploy applications in cloud environments (Heroku, Docker, or similar platforms).
Maintain clean code practices, documentation, testing, and performance optimization.
Must-have:
Strong full-stack development experience
Solid backend architecture skills (modular design, state management)
Experience with modern frontend development (responsive UI, component-based approach)
Advanced SQL and database design knowledge
Experience with CI/CD pipelines (e.g., GitHub Actions)
Cloud deployment experience (Heroku, Docker, or similar)
Hands-on experience integrating LLMs / AI features into applications
Nice-to-have:
Experience with data-heavy or analytics platforms
Knowledge of AI systems (RAG, agents, workflow automation)
Familiarity with AWS ecosystem (S3, RDS, IAM)
Python for AI/ML workflows
Understanding of web security best practices
Looking for a Senior AI Systems Full-Stack Engineer
Location: EU
Employment Type: full time. longterm
English: B2
Contact:
We're looking for a Full-Stack Engineer to build scalable, intelligent data applications that combine modern web development, cloud infrastructure, and AI capabilities.
Tech Stack:
Backend: R (Shiny, Golem, R6), Plumber
Frontend: Bootstrap 5, HTML5, CSS3, JavaScript
Data: MariaDB (AWS RDS), S3, SQL
DevOps: GitHub Actions, Docker, Heroku / DigitalOcean
AI/ML: LLM APIs (OpenAI, Claude), ellmer (R), Python
What You'll Do:
Design and develop modular, production-grade applications with interactive dashboards and responsive user interfaces.
Structure scalable backend systems, implement clean architecture patterns, and ensure maintainability of complex applications.
Create polished, responsive UI using modern frameworks (Bootstrap, HTML/CSS, JavaScript), going beyond default templates.
Connect applications to databases and storage systems, optimize queries, and design efficient data pipelines.
Implement LLM-powered features such as chat interfaces, data assistants, and automated workflows.
Manage CI/CD pipelines and deploy applications in cloud environments (Heroku, Docker, or similar platforms).
Maintain clean code practices, documentation, testing, and performance optimization.
Must-have:
Strong full-stack development experience
Solid backend architecture skills (modular design, state management)
Experience with modern frontend development (responsive UI, component-based approach)
Advanced SQL and database design knowledge
Experience with CI/CD pipelines (e.g., GitHub Actions)
Cloud deployment experience (Heroku, Docker, or similar)
Hands-on experience integrating LLMs / AI features into applications
Nice-to-have:
Experience with data-heavy or analytics platforms
Knowledge of AI systems (RAG, agents, workflow automation)
Familiarity with AWS ecosystem (S3, RDS, IAM)
Python for AI/ML workflows
Understanding of web security best practices
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 →
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