AI 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 deployment

·       Architect agent orchestration patterns, tool and context integration, and evaluation pipelines for reliability in a regulated environment

·       Own AI infrastructure supporting AIRE's agents and applications on AWS, and contribute to the team's growing infrastructure self-sufficiency

·       Implement technical safeguards against AI-specific risks, including hallucination detection, prompt injection defense, and output validation, in collaboration with company AI Governance function

·       Build audit logging and human-in-the-loop checkpoints into agentic workflows so agent actions remain traceable and reviewable in a regulated environment

Qualifications:

·       Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's preferred

·       4-7 years of software engineering experience, with production AI/LLM systems experience preferred

·       Strong Python; proficient SQL; solid distributed systems and API design fundamentals

·       Hands-on experience building LLM-powered applications or agentic systems

·       Working knowledge of AI-specific risk areas (prompt injection, output validation, hallucination mitigation, data privacy), or demonstrated ability to build this expertise quickly

·       Cloud infrastructure experience (AWS preferred); comfort with Docker, CI/CD, and containerization fundamentals

·       Direct experience with Claude, the Anthropic API, or Claude.ai/Console

·       Experience designing agent orchestration or Model Context Protocol (MCP)-based integrations

·       Production experience operating LLM-powered applications or agentic systems at scale