AI Engineer

About the company

Zeus

Plastics · 1,001 to 5,000 employees

What you'll do

• Design, develop, and operationalize enterprise AI solutions

What you need

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or related technical discipline (or equivalent experience)
• 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
• Master’s degree in Computer Science, Software Engineering, Data Science, AI, or related technical discipline.
• Experience with Snowflake Cortex, Snowpark, AI agent frameworks, or enterprise AI platforms.
• Experience with enterprise knowledge graphs, semantic layers, or document intelligence systems.
• Familiarity with MCP architectures, AI orchestration platforms, or multi-agent systems.
• Experience supporting AI deployments in manufacturing or industrial environments.
• Demonstrated ability to operationalize AI solutions from prototype through enterprise deployment.

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