AI Engineer

Vaga não está no LinkedIn

🕒 Junho 12

🌴 South Carolina – Remoto

🌴 South Carolina – Remote

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Zeus

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 1966

🏭 Manufatura

🎖️ Defesa

🚘 Automotivo

Manufacturing • Defense • Automotive

Zeus é um líder global em soluções de extrusão de polímeros, especializada no desenvolvimento e fabricação de tubulação inovadora e componentes para diversas aplicações médicas e industriais. Sua linha de produtos inclui polímeros bioabsorvíveis, tubos termoencolhíveis e conjuntos complexos de cateteres usados em procedimentos minimamente invasivos. Com décadas de expertise e um compromisso com a qualidade, Zeus foca em fornecer soluções que melhoram o desempenho e a eficiência em múltiplos mercados.

Descrição

• Design, develop, and deploy enterprise AI applications, AI agents, copilots, and intelligent workflow solutions across manufacturing and corporate domains. • Build and maintain AI orchestration pipelines utilizing LLMs, retrieval-augmented generation (RAG), vector search, prompt frameworks, and agent-based architectures. • Develop scalable AI integration patterns between enterprise platforms such as Snowflake, Salesforce, ERP systems, SCADA/OT systems, document repositories, and collaboration platforms. • Collaborate with data scientists and business stakeholders to operationalize machine learning and generative AI solutions into production environments. • Design APIs, middleware, and integration services supporting AI-driven automation and cross platform communication. • Develop and optimize semantic search, enterprise knowledge retrieval, and conversational AI capabilities. • Support the implementation of AI governance, security, observability, model evaluation, and human-in-the-loop approval processes. • Drive enterprise AI architecture strategy and standards, partnering across teams to define approaches for AI platforms, orchestration, deployment, and lifecycle management.

🎯 Requisitos

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or related technical discipline. • 6+ years of experience in software engineering, AI engineering, machine learning engineering, or related technical roles. • Strong proficiency in Python and experience developing APIs, backend services, and automation frameworks. • Hands-on experience with LLMs, prompt engineering, AI agents, RAG architectures, and vector databases/search technologies. • Experience with modern AI frameworks and orchestration tools (LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar). • Experience integrating enterprise systems using REST APIs, event-driven architectures, or middleware platforms. • Familiarity with cloud and data platforms such as Snowflake, Azure, AWS, Databricks, or similar ecosystems. • Strong understanding of software engineering best practices including Git, CI/CD, testing, monitoring, and deployment pipelines. • Excellent communication and cross-functional collaboration skills. • Preferred Qualifications include a Master’s degree in Computer Science, Software Engineering, Data Science, AI, or related technical discipline.

🏖️ Benefícios

• Competitive pay • Great benefits package