AI Research Engineer (Agentic Post-training)
Tasks
- Advance post training methods for agentic AI systems
- Build and optimize post training data pipelines
- Collaborate with research, engineering, product teams
- Design benchmarking and diagnostic evaluation frameworks
- Identify system bottlenecks and improve efficiency reliability
- Implement multi step reasoning and tool function calling
- Improve factuality and instruction following
- Integrate production feedback into training loops
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Benchmarking | Data Curation | Distributed Training | Fine Tuning | Function Calling | Instruction Tuning | Language Models | Large Language Models | Model Evaluation | Multi-GPU | Multi-node | Multimodal Learning | Post-training | Reinforcement Learning | Tool use
Education
Roles
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