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2 days ago
Job Title: Conversational AI Specialist
- We are seeking a talented individual to design and build safety guardrails for large language models (LLMs) to prevent prompt injection, toxicity, bias, hallucination, and jailbreak detection.
- Create evaluation frameworks to monitor LLM safety, fairness, and compliance.
- Develop automated pipelines using Python and SQL to process, tag, and evaluate LLM outputs.
- Leverage vector databases and embeddings to detect unsafe content or model drift.
- Design internal dashboards and visualizations for proof-of-concepts and internal tools.
- Collaborate with machine learning engineers and product teams to integrate LLM safety components into production APIs or applications.
- Stay current with AI safety research, emerging tools, and regulatory standards.
- 1-3 years of experience in data science, applied machine learning, or LLM-based applications.
- Strong programming skills in Python and experience writing SQL for data exploration or feature engineering.
- Solid understanding of natural language processing, deep learning (CNN/RNN/Transformers), and LLM architectures.
- Hands-on experience with Hugging Face, LangChain, LLM APIs, and vector stores.
- Familiarity with front-end basics is a plus.
- Experience with model evaluation, red-teaming, or safety interventions in NLP/LLM systems.
- (Preferred) Familiarity with deploying ML pipelines in production and ability to thrive in a fast-paced startup environment.
- Natural Language Processing (NLP)
- Deep Learning
- Large Language Models (LLMs)
- Hugging Face and LangChain
- Vector Databases and Embeddings
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