AI Lead Engineer (Prompt Engineering, RAG and LLM's)
Tasks
- Build audit logging for AI interactions
- Conduct experiments and analyze results
- Design AI ML solutions using large language models
- Develop production ready prompt workflows
- Document AI architectures and workflows
- Fine tune and optimize AI ML models
- Implement retrieval-augmented generation
- Integrate enterprise AI services
- Optimize model selection for performance and cost
- Provide technical mentorship for AI ML engineers
Perks/Benefits
- Career development
- Collaborative culture
- Generous time off
- Mental health support
- Remote-first
- Wellness initiatives
- Work from home
Skills/Tech-stack
AI Model Routing | AI model | AI platforms | AWS | Audit Logging | Cloud AI | Cloud AI Platforms | Data Preprocessing | Data Transformation | Data cleaning | Data extraction | Deep learning | Inference | Information Retrieval | Language Models | Large Language Models | Model routing | NLP | Predictive Analytics | Prompt engineering | PyTorch | Python | Recommendation Systems | Retrieval-Augmented Generation | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Prompt Engineer
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