AI Research Engineer (Agentic Post-training)
Tasks
- Build benchmarking and diagnostic systems
- Build multi agent coordination systems
- Collaborate on production integration with product teams
- Conduct end to end post training research and engineering for agentic AI systems
- Create data curation workflows
- Design and optimize post training pipelines
- Develop evaluation frameworks
- Develop training infrastructure
- Identify system bottlenecks and propose optimization solutions
- Implement tool and function calling
- Improve factuality and instruction following
- Improve multi step reasoning
- Integrate production feedback signals into training loops
Perks/Benefits
Skills/Tech-stack
Agent systems | Benchmarking | Data Curation | Diagnostic systems | Distributed Training | Evaluation | Fine Tuning | Function Calling | GitHub | Instruction Tuning | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Multimodal Data | Post-training | Reinforcement Learning | Tool use | Training pipelines
Education
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