Applied Agentic AI Lead, Partner Co-Design
Tasks
- Build production RAG workflows
- Co-design agentic AI systems
- Collaborate with partner solution architects
- Deploy enterprise LLM systems
- Develop long horizon agent workflows
- Drive adoption of NVIDIA AI stack
- Ensure MLOps and LLMOps readiness
- Implement multi-agent architectures
- Improve observability for agent systems
- Prototype new AI solutions
- Research emerging AI models and frameworks
- Run LLM evaluations
- Translate partner needs into product roadmap insights
Perks/Benefits
Skills/Tech-stack
Agent systems | Compliance governance | Deep learning | Docker | Efficient Fine Tuning | Enterprise deployment | Fine Tuning | Generative AI | Human Feedback | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Learning from Human Feedback | MLOps | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | NEMO | Observability | Parameter efficient fine-tuning | Prompt engineering | Python | RAG evaluation | Reinforcement Learning | Reinforcement Learning from Human Feedback | Retrieval-Augmented Generation | Security Compliance | Security compliance governance | TensorRT-LLM | VLLM | Vector Database
Education
Regions
Countries
States
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