AI Engineer II – Trust & Explainability (AI Platform)

Required

• Required Experience
• 3+ years of professional software engineering experience, delivering features independently in a production environment
• Solid understanding of algorithms, data structures, and software design fundamentals
• Proficiency with standard development tooling: Git, Docker, automated testing, and modern scripting languages
• Active daily use of AI-assisted development tools
• Bachelor's degree in Computer Science, Software Engineering, or equivalent experience
• Hands-on experience building software that integrates large language models (LLM APIs, agent frameworks, RAG pipelines, or similar), in production or in substantial personal or open-source projects
• Proficiency in Python with production experience; TypeScript a plus
• Hands-on experience in at least one of the following, with real interest in growing into the others: LLM observability and tracing, LLM evaluation and testing, agent frameworks and multi-agent orchestration, or application security testing
• Experience with distributed tracing or observability tooling in a production system
• Strong automated testing instincts, including an interest in how to test systems that do not return the same answer twice
• Experience running workloads on Azure or AWS, including the basics of identity and access management, networking, and secrets management