AI Engineer
Tasks
- Apply MLOps practices
- Build production LLM applications
- Build scalable AI pipelines
- Collaborate with software engineers product teams stakeholders
- Design develop deploy production AI solutions
- Develop evaluate deploy monitor AI models
- Ensure performance scalability reliability security
- Implement rag pipelines
- Integrate AI into cloud infrastructure
- Optimize workflows with AI
- Own AI feature lifecycle
- Prepare data for machine learning
Perks/Benefits
- Asynchronous work environment
- Autonomy
- Career development
- Company-provided hardware
- Inclusive international culture
- Internal growth opportunities
- Opportunity to work abroad temporarily
- Remote-first
- Work from Germany flexibility
- Work-life balance
Skills/Tech-stack
AWS | Asynchronous programming | Cloud Computing | Databases | Distributed Systems | FastAPI | Feature Engineering | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Inference | Monitoring | PyTorch | Python | RAG | Retrieval-Augmented Generation | Security | Semantic Search | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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