AI Engineer

🕒 Maio 26

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Nimble Gravity

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

☁️ SaaS

🛍️ Comércio Eletrônico

Artificial Intelligence • SaaS • eCommerce

A Nimble Gravity é uma empresa especializada em serviços de aceleração e automação em IA, que utiliza o que há de mais avançado em ciência de dados, IA generativa e tecnologias digitais para transformar desafios de negócios em oportunidades de crescimento. A companhia oferece um portfólio completo de serviços, incluindo analytics preditivo e prescritivo, estratégias de transformação digital, engenharia de software, soluções de e-commerce e otimização de CRM, com destaque para o uso de Salesforce. A Nimble Gravity é reconhecida por criar soluções impulsionadas por IA, como agentes automatizados de IA generativa e estratégias de e-commerce orientadas por dados, ajudando empresas a acelerar sua transformação digital e aprimorar a tomada de decisão.

Descrição

• Design, build, and deploy advanced AI solutions using LLMs, RAG, embeddings, vector databases, semantic search, and agentic architectures. • Develop intelligent systems that can process documents, retrieve knowledge, generate content, automate workflows, and transform unstructured data into actionable insights. • Work with modern GenAI and AI engineering tools such as LangChain, LangGraph, Hugging Face, PyTorch, MCP, multi-agent frameworks, and cloud-native AI services. • Build scalable, reliable AI applications across Azure, AWS, Databricks, or similar cloud/data platforms. • Experiment with and evaluate foundation models, prompts, retrieval strategies, orchestration patterns, and performance optimization techniques. • Collaborate closely with engineering, product, data, and business teams to define the right technical approach and deliver high-impact AI solutions. • Stay plugged into the fast-moving GenAI ecosystem and bring new ideas, tools, and prototypes into real-world applications.

🎯 Requisitos

• Strong experience in AI, machine learning, data science, or AI engineering, with hands-on exposure to production-scale solutions. • Deep interest and practical experience with Generative AI, including LLMs, RAG, vector search, embeddings, agents, and AI workflow orchestration. • Strong Python skills and experience with modern ML/AI frameworks and libraries. • Experience building on cloud or data platforms such as Azure, AWS, GCP, Databricks, or similar. • A solid foundation in data science, experimentation, statistical thinking, or applied machine learning. • Ability to work with structured and unstructured data, including text, documents, images, emails, spreadsheets, or other complex data formats. • A builder mindset: curious, hands-on, adaptable, and excited to work with emerging technologies. • Strong communication skills and the ability to partner with technical and non-technical stakeholders.

🏖️ Benefícios

• Equal Opportunity Employer