Algorithm Engineer LLM Safety First – AI Safety
## 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.**