Principal AI Engineer
Tasks
- Build RAG pipelines
- Deploy monitor and improve production ML solutions
- Design ML systems for AI agents
- Develop evaluation and feedback loops
- Ensure scalable observable reliable and explainable systems
- Implement workflow orchestration
- Own model agent logic and orchestration in production
- Partner with software engineers, product managers, and data scientists
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Autonomous Agents | Cloud Computing | Cloud platform | Deep learning | Google Cloud | Google Cloud Platform | Graph Neural Networks | Information Retrieval | LLM orchestration | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Neural Networks | PyTorch | RAG | Recommendation Systems | TensorFlow | Text Generation | Workflow Orchestration
Education
Roles
Regions
Countries
States
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