Applied Agentic AI Lead, Partner Co-Design
Tasks
- Build RAG inference multi agent and long horizon workflows
- Co-design production agentic systems with partners
- Collaborate with product engineering research and solution architecture teams
- Define technical objectives timelines and adoption strategy
- Develop deep learning fine tuning and post training pipelines
- Drive evaluations of AI libraries and ship reference architectures
- Lead technical engagement to ensure software adoption
- Represent partner needs in architecture design and product roadmap
- Research prototype and validate solutions for new AI scenarios
- Stay ahead of evolving models libraries and frameworks
Perks/Benefits
Skills/Tech-stack
Agent systems | Compliance | Deep learning | Docker | Fine Tuning | Generative AI | Governance | Kubernetes | LLM Evaluation | LLMOps | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Multi-Agent | Multi-Agent Systems | NEMO | PEFT | Python | RLHF | Reinforcement Learning | Retrieval-Augmented Generation | SFT | Security | TensorRT-LLM | VLLM | Vector Databases
Education
Roles
AI | AI Lead | AI Solutions | AI Solutions Architect | Agentic AI Lead | Architect | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Solutions Architect
Regions
Countries
States
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