Senior AI Engineer
Tasks
- Add logging and telemetry
- Architect AI platforms
- Build and implement AI models
- Build backend systems for GenAI
- Communicate architecture objectives
- Coordinate with Agile/Scrum teams
- Design ML/AI pipelines
- Develop RAG and agent workflows
- Develop fine-tuning techniques
- Drive benchmarking and development productivity
- Implement hyperparameter tuning
- Lead architectural discussions
- Manage incidents and operational efficiency
- Mentor and coach engineers
- Optimize deployment and monitoring
- 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
Agentic Workflows | Agile | Cloud Architecture | Code review | Databricks | Deep learning | Deployment | Distributed Systems | Evaluation benchmarks | Fine Tuning | Generative AI | Hyperparameter Tuning | Language Processing | Machine Learning | Model Fine-tuning | Model Training | Natural Language | Natural Language Processing | Observability | Orchestration | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scrum | TensorFlow | Testing | Workflow Management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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