AI Engineer
Tasks
- Build experimentation tooling
- Build production ready AI applications
- Collaborate with data scientists
- Deploy AI systems
- Design AI systems
- Develop data pipelines
- Develop inference pipelines
- Evaluate LLM applications
- Integrate AI into enterprise settings
- Integrate RAG components
- Optimize LLM inference
- Orchestrate model tool calling
- Test AI systems
Perks/Benefits
Skills/Tech-stack
API Integration | Cloud infrastructure | Computer Vision | Data Structures | Deep learning | Distributed Systems | Graph Neural Networks | High Performance | High-Performance Computing | Inference Optimization | LLM Tool Calling | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | Performance Computing | Prompt Caching | Python | Retrieval-Augmented Generation | Structured Output | Tokenization | Tool-Calling
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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