Senior ai engineer

Há 5 dias

CURITIBA, Brasil Brainz Tempo inteiro

Nosso time de Data & AI tem a missão de impactar a educação com soluções inovadoras focadas na experiência dos alunos e professores e alta geração de valor para o negócio.  Buscamos um(a) Senior AI Engineer apaixonado(a) por construir soluções de Inteligência Artificial de ponta, desde a pesquisa e prototipagem, até a produção em escala, trabalhando em conjunto com nossos times de Produto, Operações, Pedagógico, e Tecnologias Educacionais.   Responsabilidades-chave: Apoiar as squads do cliente no mapeamento de requisitos técnicos e de negócio para construção de soluções de AI.  Apoiar as squads do cliente na construção e apresentação de protótipos e experimentos para validação de hipóteses de solução.  Apoiar a squad de system design e solution design, composta por arquiteto de soluções, arquiteto de dados e arquiteto de software, no desenho de arquiteturas de baixo e alto nível de soluções robustas e escaláveis baseadas nas melhores práticas de mercado.  Projetar, implementar e operacionalizar soluções baseadas em Agentic Worflows, RAG, GraphRAG, LLMs e AI Generativa utilizando Stack Azure AI.  Construção e gerenciamento de bancos de dados vetoriais (Azure Vector Search, Elastic e similares).  Definir e implementar guardrails de segurança e conformidade (toxicity filters, bias mitigation, watermarking), alinhados a frameworks de Responsible AI.  Construir artefatos de monitoramento e observabilidade (Inference Latency, Token Usage, Erros Rates, Output Quality, Model Drift, etc), performance, custo e qualidade das respostas usando Langsmith, OpenTelemetry, Azure Monitor, Application Insights e Grafana ou similares.  Orquestrar versionamento de modelos, deploy contínuo (CI/CD) e governança de artefatos (MLflow, DVC).  Otimizar custos e latência através de batching, quantização, sharding e tuning de hyperparameters.  Requisitos desejados: Experiência comprovada em desenvolvimento de soluções de IA/ML em ambiente de produção.  Experiência comprovada em projetos de Agentic Workflows com Azure OpenAI, CrewAI, PydanticAI, Langchain/LangGraph ou similares.  Conhecimentos avançados em RAG, Graph RAG, SML, SQL Agents, vector databases e embeddings de alta dimensão.  Conhecimentos avançados em engenharia de prompts, observabilidade, finetuning e avaliação de LLMs.  Experiência comprovada com MLOps (CI/CD, versionamento, governança).  Forte background em segurança, privacidade e ética em IA.  Programação avançada em Python e melhores práticas de engenharia de software.   Diferenciais  Certificação Azure AI Engineer ou Azure Data Scientist.  Experiência com LLM Routing.  Conhecimento de deployment em Kubernetes e infra como código (Terraform).  Incentivos: Home Office; Plano de saúde UNIMED; Gympass; 20 dias de recesso remunerados; Bônus/PLR; Programa fidelidade (semelhante ao 13º); Bonificação sobre indicação de novos funcionários; Day-off no aniversário.

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