AI Engineer
Tasks
- Build RAG pipelines
- Build model inference services
- Collaborate with engineers and stakeholders
- Create data preprocessing pipelines
- Deploy AI on cloud infrastructure
- Design deploy production AI solutions
- Develop LLM applications
- Ensure performance, scalability, reliability, and security
- Identify workflow optimization opportunities
- Implement model evaluation and monitoring
- Integrate AI into SaaS products
- Perform feature engineering
Perks/Benefits
- Asynchronous work environment
- Career development
- Company provided hardware and equipment
- Internal growth opportunities
- International collaboration
- Remote-first
- Work-life balance
Skills/Tech-stack
AWS | Asynchronous programming | Data Processing | FastAPI | Feature Engineering | Git | GitHub Copilot | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Model Inference | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | Semantic Search | Statistics | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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