LLM Evaluation Engineer

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ThirdLaw is building the control layer for AI in the enterprise. This role focuses on building the evaluation layer that decides whether LLM prompts and outputs are acceptable, using real-time guardrails and semantic judgment systems. You'll work with foundation models, vector search, and rule engines to enforce enterprise policies.

• Design and build real-time evaluation logic for LLM prompts and outputs.
• Implement evaluation strategies using semantic similarity, foundation model scoring, and rule-based systems.
• Integrate model outputs with downstream enforcement actions (redaction, escalation, blocking).
• Prototype, tune, and productize small language models and prompt templates for classification.
• Collaborate with data infrastructure engineers to connect evaluation logic with storage layers.
• Build tools to observe and debug evaluator performance across real-world data distributions.

• 7+ years of experience in ML systems or AI engineering, with 1-2 years working directly with LLMs.
• Deep understanding of foundation models (OpenAI, Claude, Mistral, Llama) via APIs or open source.
• Hands-on experience with vector search (FAISS, Qdrant, Weaviate) and embeddings pipelines.