Senior Software Engineer
United States, Washington, Redmond
USD 119K-234K Senior-level Full Time
Tasks
- Apply model versioning
- Architect scalable data ingestion systems
- Build ETL workflows
- Build LLM based RAG pipelines
- Build onboarding playbooks for AI adoption
- Define AI readiness metrics
- Deploy models to production
- Design multi-agent AI systems
- Develop machine learning models
- Establish engineering standards and documentation
- Implement feature engineering pipelines
- Implement telemetry for adoption maturity
- Instrument systems for analytics
- Integrate AI via APIs and services
- Lead end to end delivery of AI security initiatives
- Manage model governance and evaluation
- Monitor model performance drift reliability
- Set up CI CD for machine learning
- Train machine learning models
- Translate customer scenarios into AI solutions
- Use containerization for deployment
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Agentic Systems | Azure | CI/CD | Cloud Computing | Containerization | Data Engineering | Data Pipelines | Deep learning | Distributed Systems | ETL | Feature Engineering | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | Python | RAG | Retrieval-Augmented Generation | Telemetry | Vector Database
Education
Roles
Regions
Countries
States
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