Responsibilities:

📍Design and build an AI Guardrails framework as a safety layer for LLMs and agent workflows 📍Define and enforce safety, security, and compliance policies across applications 📍Detect and mitigate prompt injection, jailbreaks, hallucinations, and unsafe outputs 📍Implement privacy and PII protection: redaction, obfuscation, minimisation, data residency controls 📍Build red-teaming pipelines, automated safety tests, and risk monitoring tools 📍Continuously improve guardrails to address new attack vectors, policies, and regulations 📍Fine-tune or optimise LLMs for trading, compliance, and Web3 tasks 📍Collaborate with Product, Compliance, Security, Data, and Support to ship safe features

Requirements:

📍Master’s/PhD in Machine Learning, AI, Computer Science, or related field 📍Research track record (ICLR, NeurIPS, ACL, ICML) a plus 📍Hands-on experience building LLM/agent guardrails (policy design, refusal rules, filtering, permissions) 📍Practical experience with hallucination mitigation and safety evaluation 📍Proven ability to ship AI safety frameworks to production 📍Strong coding in Python (Java a plus); expertise in PyTorch/TensorFlow/JAX Understanding of privacy, PII handling, data governance, and risk frameworks 📍Interest in crypto, Web3, and financial systems 📍Self-driven with strong ownership and delivery skills 📍Excellent communication and collaboration abilities

The crypto industry is evolving rapidly, offering new opportunities in blockchain, web3, and remote crypto roles — don’t miss your chance to be part of it.