Senior AI Engineer
Tasks
- Add logging telemetry and evaluation harnesses
- Architect AI platforms
- Build backend systems for GenAI
- Communicate architecture and implementation objectives
- Deploy AI models and systems
- Design ML/AI pipelines
- Develop LLM fine tuning techniques
- Drive AI and data engineering innovation
- Implement hyperparameter tuning
- Improve agile/scrum processes
- Lead architectural discussions
- Manage incidents and operational efficiency
- Mentor software and AI developers
- Orchestrate agentic workflows
- Train and evaluate models
Perks/Benefits
- Cell phone allowance
- Comprehensive health coverage
- Equity grants
- Growth-focused environment
- Home office setup allowance
- Unlimited paid time off
- Work from anywhere
Skills/Tech-stack
AI gateway | Agentic Workflows | Agile | Cloud Architecture | Code review | Configuration Management | Data Preprocessing | Databricks | Deep learning | Deployment | Distributed Systems | Embeddings | Evaluation | Feature Engineering | Fine Tuning | Hyperparameter Tuning | Incident Management | Language Models | Language Processing | Large Language Models | Machine Learning | Model Monitoring | Mosaic AI | Mosaic AI Gateway | Natural Language | Natural Language Processing | Orchestration | Pretraining | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scrum | TensorFlow | Testing | Vector Search
Education
Roles
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