AI Engineer – Trust & Explainability (AI Platform)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Engineer – Trust & Explainability (AI Platform) based in United States. This is a hands-on AI engineering role focused on making multi-agent systems observable, explainable, testable, and trustworthy. You will help build shared platform capabilities for tracing agent workflows, evaluating non-deterministic outputs, and surfacing meaningful explanations. The role sits at the intersection of LLM engineering, distributed systems, observability, application security, and responsible AI. You will work closely with product engineers, architects, security teams, and other AI engineers to build reusable platform primitives. Your work will help engineers understand why agents behave as they do and enable customers to make more informed decisions about AI-generated outcomes. You will have the opportunity to evaluate and extend open-source frameworks while building new capabilities where existing tooling falls short. The environment is highly technical and collaborative, with an emphasis on continuous learning, AI-assisted development, rigorous testing, and practical engineering.