Instituto Hardware BR HBR

Threat Intelligence Specialist

• Design, develop, and enhance end-to-end RAG pipelines, including ingestion, chunking, tokenization, embeddings, semantic/hybrid search, reranking, and response generation.
• Build ETL/ELT processes for structured and unstructured sources, with incremental updates, quality validation, and anonymization/masking of sensitive data.
• Manage the generation, storage, updating, and versioning of embeddings, integrating vector, relational, and NoSQL databases.
• Implement continuous evaluation of LLMs and RAG systems, measuring retrieval, groundedness, hallucinations, latency, and cost.
• Monitor quality, latency, availability, cost, and resource consumption in production; automate deployment, versioning, and rollback through CI/CD.
• Version prompts, models, datasets, embeddings, and pipelines, ensuring data lineage, auditing, and observability.
• Design versioned prompts, system prompts, structured outputs, and tool calling.
• Deliver services through REST/gRPC APIs and microservices running on Docker and Kubernetes.

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