AI Engineer
Tasks
- Build LLM applications
- Build scalable AI pipelines
- Collaborate with software and business stakeholders
- Deploy AI workflows
- Design and deploy AI solutions
- Develop RAG pipelines
- Ensure scalability, reliability, and security
- Implement AI model evaluation
- Integrate AI into cloud infrastructure
- Monitor AI solutions in production
- Optimize customer and internal workflows
Perks/Benefits
- Asynchronous work environment
- Autonomy and work-life balance
- Career development and internal growth
- Company provided hardware and equipment
- Remote-first flexibility
- Temporary work abroad
- Work from Germany
Skills/Tech-stack
AWS | Asynchronous programming | Data Processing | Databases | Distributed Systems | FastAPI | Feature Engineering | Git | GitHub Copilot | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scalable Distributed Systems | Semantic Search | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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