AI Engineer
Core
Design, develop, and operate production-grade AI-powered software systems, agentic systems, and model-driven workflows that embed AI as a core capability.
Role type
hands-on AI engineer (applied AI/software engineering)
Builds
production applications, internal workflows, and customer-facing products with embedded AI and agentic capabilities
Domain
AI engineering, software engineering, applied AI
Deliverable
production ML models
Required skills
software engineering fundamentals, agentic AI systems, Model Context Protocol (MCP), open-source and commercial AI models, API integration, system evaluation and safety, scaling optimization
Preferred skills
SaaS or enterprise application integration, cloud-native architectures, regulated environments, product-oriented engineering
Technologies
agentic systems, Model Context Protocol (MCP), open-source AI models, commercial AI models
Responsibilities
Design and build production-grade software systems embedding AI; Build and integrate agentic systems for autonomous task execution; Implement Model Context Protocol (MCP) for context and memory management; Integrate AI systems with real-world services and APIs; Evaluate AI systems for reliability, hallucination risk, and safety; Own solutions from initial design through deployment and ongoing operation.
