Senior AI Engineer
Tasks
- Architect AI platforms
- Build and implement AI models
- Build backend systems for GenAI
- Communicate architecture to stakeholders
- Deploy applied AI intelligence features
- Design ML/AI pipelines
- Develop fine-tuning techniques
- Drive AI and data engineering innovation initiatives
- Evaluate model performance
- Implement logging telemetry and evaluation harnesses
- Lead technical architectural decisions
- Mentor and coach AI and software developers
- Participate in incident management and operational efficiency
- Partner with cross-functional teams to deliver AI solutions
- Perform hyperparameter tuning
- Represent company in customer facing technical conversations
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
API Design | Agentic Systems | Agile | Cloud Architecture | Code review | Data Processing | Databricks | Deep learning | Distributed Systems | Distributed data | Distributed data processing | Embedding Models | Evaluation | Feature Engineering | Fine Tuning | Generative AI | Hyperparameter Tuning | Language Processing | Logging | Machine Learning | Massive parallel processing | Model Fine-tuning | Natural Language | Natural Language Processing | Orchestration | Parallel processing | PyTorch | Python | RAG | SQL | Scrum | Security | Telemetry | TensorFlow | Test automation | Workflow Management
Education
Roles
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