Found Description
What You’ll Do
- Design, build and deploy production‑grade machine learning and Generative AI systems
- Architect agentic and multi‑agent solutions including tool and function calling workflows
- Create Retrieval‑Augmented Generation (RAG) pipelines that ground outputs in enterprise data
- Improve prompt design, safety and response quality through testing and iteration
- Define evaluation approaches, metrics and benchmarks for model and system performance
- Integrate AI capabilities into existing platforms with data engineers, platform teams and stakeholders
- Uphold engineering standards through code reviews, testing, documentation and debugging
- Python proficiency and hands‑on use of machine learning and deep learning frameworks such as TensorFlow and PyTorch
- Experience building with Large Language Models (LLMs) including orchestration frameworks, agents a...
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