Senior AI-Native Engineer

Responsibilities

• Architect and develop AI-native applications where intelligent agents and LLM-powered components serve as foundational building blocks
• Design and implement multi-agent systems capable of autonomous reasoning, planning, tool selection, and execution of complex workflows
• Integrate Large Language Models into production environments, ensuring reliability, observability, and graceful degradation
• Embed AI throughout the software development lifecycle — from AI-assisted design and code generation to intelligent testing, review, and deployment automation
• Develop orchestration layers that manage agent communication, shared memory, context windows, and task delegation
• Craft and iterate on prompt engineering strategies to drive consistent, high-quality model outputs across diverse use cases
• Evaluate and benchmark emerging AI models, frameworks, and agent platforms to inform technology decisions
• Design feedback loops, guardrails, and evaluation mechanisms to ensure AI system safety, accuracy, and alignment
• Collaborate with cross-functional teams — including product managers, data engineers, and platform architects — to deliver AI-driven solutions at scale
• Contribute to the creation of internal standards, reference architectures, and reusable patterns for AI-native development

Languages