Principal Engineer - GenAI Applications & MLOps
Tasks
- Advocate for strategic technical initiatives
- Build scalable resilient services for data integration
- Coach teams on technical standards
- Consult teams on ML patterns and tradeoffs
- Design ML infrastructure
- Design distributed system services
- Develop ML tooling and models
- Evaluate and deploy LLM solutions
- Lead architecture reviews and documentation standards
- Mentor Staff and Senior engineers
- Monitor industry advances and set technical direction
- Optimize for low latency high accuracy AI agents
- Process events for customer facing features
- Set engineering observability and reliability standards
- Write production code with testing
Perks/Benefits
Skills/Tech-stack
AWS | Bigtable | Data integration | Distributed Systems | Event Processing | Fine Tuning | GCP | GenAI | High Availability | Infrastructure as Code | Kubernetes | LLM Evaluation | LLM apps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Multi-Modal | Multi-modal Models | Natural Language | Natural Language Processing | Observability | PostgreSQL | Prompt engineering | RAG | Redis | Reliability Engineering | Spanner | Vitess | “as-code”
Education
N/A
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