Agent Sciences and Infrastructure Engineer, AIML
Tasks
- Build agent harnesses and tool use systems
- Build agentic systems for AI features
- Create experiment and data lineage tooling
- Design data validation and standardization workflows
- Develop ML training and evaluation pipelines
- Develop benchmarking and observability practices
- Identify bottlenecks and translate research into tooling
- Implement ML serving infrastructure
- Operate distributed systems and APIs
- Test and maintain reliable production code
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent Frameworks | Benchmarking | Data Lineage | Data Validation | Distributed Systems | Evaluation Pipelines | LLM Evaluation | ML Serving | Machine Learning | Observability | Python | Testing | Training pipelines | Unix
Education
Regions
Countries
States
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