AI Research Engineer (Agentic Post-training)
Tasks
- Advance post training methods for agentic AI
- Build tool and function calling workflows
- Collaborate on production integration
- Conduct end to end research and engineering
- Create benchmarking and diagnostic systems
- Design data curation workflows
- Develop evaluation frameworks
- Develop multi step reasoning capabilities
- Identify system bottlenecks and improve efficiency
- Improve factuality and instruction following
- Integrate production feedback into training loops
- Optimize large scale post training pipelines
Perks/Benefits
Skills/Tech-stack
Agent coordination | Benchmarking | Data Curation | Data Pipelines | Distributed Training | Fine Tuning | Function Calling | Instruction Tuning | Language Models | Large Language Models | Model Evaluation | Multi-Agent | Multi-Agent Coordination | Multi-GPU | Multi-node | Multi-node Training | Multimodal Learning | Post-training | Reinforcement Learning | Tool use | Training Infrastructure
Education
Roles
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