2 часа назад
AI Engineer (LLM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (LLM) (Python/PyTorch/Fullstack): Building and deploying end-to-end AI applications with an accent on LLM integration, full-stack development, and scalable cloud deployment. Focus on developing APIs and user interfaces, fine-tuning deep learning models, and deploying reliable AI systems with Docker, Kubernetes, and CI/CD.
Location: Germany; Europe preferred, with DACH highly preferred. Hybrid setup indicated.
Company
is an AI cloud platform company developing open-source generative and predictive AI solutions for enterprises and public sector organizations.
What you will do
- Design, develop, and implement full-stack AI applications across frontend, backend, and AI components.
- Build robust Python backend services and APIs for AI functionality, data flow, and system integration.
- Develop user interfaces that make complex AI capabilities accessible and easy to use.
- Deploy and scale AI models and applications on cloud platforms with attention to reliability and production performance.
- Use modern development tools and AI-assisted coding platforms to improve productivity and code quality.
Requirements
- Proven experience as a Full Stack Engineer or in a similar software development role.
- Hands-on experience with data engineering, machine learning model development, and full-stack application development.
- Core proficiency in Python and some experience with JavaScript.
- Proficiency in PyTorch and a basic understanding of fine-tuning deep learning models, especially LLMs.
- Experience with FastAPI, SQL or NoSQL databases, S3, React or NextJS, Docker, Kubernetes, CI/CD, and cloud services.
- Open-source contributions and a public track record of AI experience.
Nice to have
- Advanced deep learning knowledge with a focus on natural language processing.
- Experience bringing AI solutions from concept to market.
- Experience with OpenAI API endpoints, AI agents, and application integration.
- Active participation in open-source AI and software development communities.
Culture & Benefits
- Remote-friendly culture and a flexible working environment.
- Career growth opportunities.
- Work with a world-class team of AI and machine learning practitioners.
- Inclusive culture and an AI for Good ethos.
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