AI Research Engineer (Agentic Post-training)
Tasks
- Build and optimize large scale post training pipelines
- Collaborate with research engineering and product teams for deployment readiness
- Conduct research and engineering on post training methods for agentic AI systems
- Create evaluation frameworks and benchmarking systems
- Design data curation workflows and training infrastructure
- Develop multi step reasoning and tool function calling capabilities
- Identify system bottlenecks and propose efficiency improvements
- Improve large language model factuality and instruction following
- Integrate production feedback signals into training loops
Perks/Benefits
Skills/Tech-stack
Agent coordination | Agentic Systems | Benchmarking | Data Curation | Distributed Training | Fine Tuning | Function Calling | GPU Training | GitHub | Hugging Face | Instruction Tuning | Language Models | Large Language Models | Machine Learning | Machine Learning Pipelines | Model Evaluation | Multi-Agent | Multi-Agent Coordination | Multi-GPU | Multi-GPU Training | Multimodal Data | Multimodal Learning | Multinode training | Reinforcement Learning | Tool use
Education
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