Found Description
What You’ll Do
- Design, build, and deploy end-to-end generative AI systems, including multi-agent workflows and production-grade AI applications
- Architect multi-component pipelines across Retrieval-Augmented Generation, fine-tuning, embedding generation, and hybrid retrieval strategies
- Integrate reasoning, tool use, function calling, and orchestration across complex AI workflows
- Engineer advanced agentic systems with robust memory architecture, scalable tool ecosystems, and clear separation of concerns
- Lead work from early-stage research, model experimentation, and evaluation design through production deployment
- Oversee API development, microservices, CI/CD pipelines, observability, and cloud-native deployment
- Build GenAIOps processes for automated testing, regression evaluation, latency monitoring, and continual improvement
- Design evaluation frameworks covering factual consistency, relevance, precision a...
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