Artificial Intelligence Engineer
Work typeHybrid · Full Time
Pay · estimate~$145k – $195kMarket rate · not set by employer
PostedNov 15, 2026
LevelMid level
In short
***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…
📋 About the job
- **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
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