Artificial Intelligence Engineer

***We are unable to sponsor as this is a permanent full-time role******Hybrid, 3 days onsite, 2 days remote***Responsibilities:Own the design and delivery of agentic AI systems end-to-end, from architecture through production deploymentArchitect agent orchestration patterns, tool and context integration, and evaluation pipelines for reliability in a regulated environmentOwn AI infrastructure supporting AIRE's agents and applications on AWS, and contribute to the team's growing infrastructure self-sufficiencyImplement technical safeguards against AI-specific risks, including hallucination detection, prompt injection defense, and output validation, in collaboration with company AI Governance functionBuild audit logging and human-in-the-loop checkpoints into agentic workflows so agent actions remain traceable and reviewable in a regulated environmentQualifications:Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's preferred4-7 years of software engineering experience, with production AI/LLM systems experience preferredStrong Python; proficient SQL; solid distributed systems and API design fundamentalsHands-on experience building LLM-powered applications or agentic systemsWorking knowledge of AI-specific risk areas (prompt injection, output validation, hallucination mitigation, data privacy), or demonstrated ability to build this expertise quicklyCloud infrastructure experience (AWS preferred); comfort with Docker, CI/CD, and containerization fundamentalsDirect experience with Claude, the Anthropic API, or Claude.ai/ConsoleExperience designing agent orchestration or Model Context Protocol (MCP)-based integrationsProduction experience operating LLM-powered applications or agentic systems at scale