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Algorithm Engineer LLM Safety First – AI Safety
Posted 16 days ago|Apply before June 15, 2026
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. Apply to this job