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.