AI Engineer

🕒 June 12

🌴 South Carolina – Remote

infoinfo

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on Zeus's careers page, not through a job board

First seen by Remote Rocketship June 12

Logo of Zeus

Zeus

1001 - 5000 employees

Founded 1966

🏭 Manufacturing

🎖️ Defense

🚘 Automotive

Manufacturing • Defense • Automotive

Zeus is a global leader in polymer extrusion solutions, specializing in the development and manufacturing of innovative tubing and components for various medical and industrial applications. Their product range includes bioabsorbable polymers, heat shrink tubing, and complex catheter assemblies used in minimally invasive procedures. With decades of expertise and a commitment to quality, Zeus focuses on delivering solutions that enhance performance and efficiency across multiple markets.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Competitive pay • Great benefits package

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