AI Research Engineer (Agentic Post-training)
Tasks
- Build multi step tool function calling workflows
- Collaborate on production ready agentic integration
- Conduct post training research and engineering for agentic AI
- Design and optimize large scale post training pipelines
- Develop benchmarking and diagnostic systems
- Identify bottlenecks and improve reliability and efficiency
- Improve factuality and instruction following
- Integrate production feedback into training loops
Perks/Benefits
Skills/Tech-stack
Agent coordination | Benchmarking | Data Curation | Deep learning | Distributed Training | Evaluation Frameworks | Fine Tuning | Function Calling | Instruction Tuning | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Coordination | Multi-GPU | Multi-node | Multimodal Data | Multimodal Learning | Post-training | PyTorch | Python | Reinforcement Learning | Tool use | Training Infrastructure
Education
Roles
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