AI Research Engineer (Agentic Post-training)
Tasks
- Build multi agent coordination
- Conduct research on post training for agentic AI systems
- Create benchmarking systems
- Create diagnostic systems
- Curate training data
- Design training pipelines for agentic models
- Develop evaluation frameworks
- Develop tool function calling capabilities
- Identify system bottlenecks
- Improve efficiency reliability and performance
- Improve instruction following
- Improve model factuality
- Improve multi step reasoning
- Integrate production feedback into training loops
- Optimize training infrastructure
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Benchmarking | Data Pipelines | Diagnostic systems | Distributed Training | Fine Tuning | Function Calling | Instruction Tuning | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multi-GPU | Multi-node | Multimodal Learning | Post-training | Reinforcement Learning | Tool use
Education
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