AI/LLM Engineer
Tasks
- Apply Retrieval Augmented Generation
- Build and deploy scalable LLM solutions
- Design and develop autonomous AI agents
- Design and implement large language model systems
- Evaluate and experiment with LLM frameworks and tools
- Fine-tune foundation models
- Integrate AI capabilities into tools workflows and products
- Lead architecture decisions for model evaluation and deployment
- Optimize LLM solutions using evaluation metrics and NLP research
- Perform prompt engineering
Perks/Benefits
Skills/Tech-stack
AWS | Autonomous Agents | Azure | Cloud deployment | Container Orchestration | Evaluation metrics | Fine Tuning | GCP | Git | Hugging Face | Langchain | Language Models | Language Processing | Large Language Models | NLP | Natural Language | Natural Language Processing | OpenAI | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Transformer
Education
Roles
AI | AI Engineer | Engineer | LLM Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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