AI Engineer

The core requirements for the job include the following:

Must-Have Skills:

• Python software engineering.
• Distributed systems, APIs, and microservices.
• LLM, AI service, and conversational platform integration.
• Cloud-native architecture, containers, and Kubernetes.
• Software architecture and technical leadership

Nice-to-Have:

• Experience building agent orchestration frameworks, workflow platforms, or AI execution systems.
• Experience with conversational AI, voice platforms, speech technologies, or real-time interaction systems.
• Familiarity with retrieval systems, vector databases, memory architectures, and evaluation frameworks.
• Experience designing internal developer platforms, SDKs, or reusable engineering frameworks.
• Knowledge of event-driven architectures, distributed workflows, and enterprise integration patterns.
• Experience with Model Context Protocol (MCP), agent tool-calling frameworks, or similar standards for connecting AI systems with external tools and services.
• Experience designing reusable tool integration frameworks, context management systems, or agent interoperability platforms.