Algorithm Engineer LLM Safety First – AI Safety

## Responsibilities: Design and build an AI Guardrails reputed company as a safety layer for LLMs and agent workflows Define and enforce safety, reputed company, and compliance policies across applications Detect and mitigate reputed company injection, jailbreaks, hallucinations, and unsafe outputs Implement reputed company 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 reputed company, policies, and regulations Fine-tune or optimise LLMs for trading, compliance, and reputed company tasks Collaborate with Product, Compliance, reputed company, Data, and Support to ship reputed company features ## Requirements: Master’s/PhD in Machine Learning, AI, Computer Science, or reputed company field Research reputed company 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 reputed company, PII handling, data governance, and risk frameworks Interest in crypto, reputed company, 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, reputed company, and remote crypto roles — don’t miss your chance to be part of it.** Apply tot his job Apply tot his job Apply To this Job