AI Trust Engineer

Build trust into the product—make AI systems earn confidence from users, auditors, and the teams that run them. Through Nebulai’s marketplace, you help enterprise teams design and ship trust signals for GenAI, agents, RAG, and ML: transparency, evaluation evidence, human oversight, incident readiness, and clear accountability. You turn black-box risk into something operators and stakeholders can understand and rely on. You’ll be a strong fit if you: - Have shipped trust, safety, or reliability practices for production AI/ML or LLM systems - Can design evaluations, monitoring, and escalation paths that catch real failures early - Partner with product, security, and engineering without slowing delivery - Explain tradeoffs clearly to technical and non-technical stakeholders Bonus if you’ve: - Built trust frameworks for multi-agent or RAG systems with humans in the loop - Worked in regulated or high-stakes enterprise environments - Used cloud AI stacks on AWS, Azure, or GCP as part of monitoring or release gates Contract trust engineering via Nebulai. Apply at https://nebulai.app