Senior AI Engineer
Tasks
- Architect AI platforms
- Build AI models and systems
- Build backend systems for GenAI products
- Create scalable distributed data processing systems
- Deploy model training experimentation workflows
- Design data preprocessing and feature engineering
- Develop agentic systems orchestration and workflow management
- Develop fine tuning and LLM techniques
- Drive Agile Scrum process improvements
- Implement ML AI pipelines
- Implement logging and telemetry
- Integrate retrieval-augmented generation
- Lead end to end model system development
- Manage incidents and configuration
- Mentor and coach developers
- Participate in architecture discussions
- Perform hyperparameter tuning and evaluation
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 Systems | Agile | Cloud Architecture | Databricks | Deep learning | Distributed Systems | Embeddings | Evaluation | Feature Engineering | Fine Tuning | Hyperparameter Tuning | Incident Management | Language Models | Language Processing | Large Language Models | Logging | Machine Learning | Model Monitoring | Mosaic AI | Mosaic AI Gateway | Natural Language | Natural Language Processing | Orchestration | Pretraining | PyTorch | Python | RAG | Retrieval-Augmented Generation | SQL | Scrum | Security | Telemetry | TensorFlow | Testing | Workflow Management
Education
Roles
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