
51 - 200 employees
Founded 2008
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
Instituto Hardware BR HBR is a Brazilian non-profit technology institute that promotes hardware-focused research, development and innovation (PD&I), professional training, and entrepreneurship. Founded in 2008 and headquartered in the Brasília BioTIC tech park with units in Campinas, Salvador and Manaus, HBR provides R&D and product engineering services across advanced hardware, microelectronics, embedded systems, firmware and software, AI, optics/photonic and RF, IoT, FPGA, X‑ray and precision mechanics, while running incubator and startup support programs and capacity-building initiatives.
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🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2008
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
Consulting • Healthcare • Manufacturing
Instituto Hardware BR HBR is a Brazilian non-profit technology institute that promotes hardware-focused research, development and innovation (PD&I), professional training, and entrepreneurship. Founded in 2008 and headquartered in the Brasília BioTIC tech park with units in Campinas, Salvador and Manaus, HBR provides R&D and product engineering services across advanced hardware, microelectronics, embedded systems, firmware and software, AI, optics/photonic and RF, IoT, FPGA, X‑ray and precision mechanics, while running incubator and startup support programs and capacity-building initiatives.
• 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.
• Bachelor’s degree in Computer Science/Engineering, Software Engineering, Data Science, Information Systems, Electrical Engineering, or a related field. • Practical experience building and maintaining LLM-based applications and RAG architectures in production environments. • Python and SQL; frameworks such as Hugging Face Transformers, PyTorch, or equivalent technologies; NLP and embeddings. • Vector databases, semantic search, SQL/NoSQL databases, and ETL/ELT. • MLOps/LLMOps, Git, CI/CD, Docker, Kubernetes, and at least one cloud platform (AWS, GCP, or Azure). • Data governance, data lineage, anonymization, authentication/authorization, and compliance with Brazil’s LGPD data protection law. • Intermediate English (for reading technical documentation and scientific papers).
• Medical insurance • Dental insurance • Flexible working hours • Life insurance • Meal allowance • Fuel allowance • Birthday day off • Maternity and paternity benefits • Marriage benefit • Wellhub (Gympass) • Conexa Saúde – Caju Mais
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