Lead LLM Safety Specialist

7 days ago

Mysore, Karnataka, India beBeeLlmsafety Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Design LLM Safety Solutions

Key Responsibilities
  • Develop Guardrails:
    • Implement prompt injection protection, toxicity/bias detection, and hallucination/jailbreak identification.
    • Develop evaluation frameworks to monitor LLM safety, fairness, and compliance.
  • Build Evaluation Frameworks:
    • Monitor LLM safety, fairness, and compliance using Python and SQL.
  • Leverage Vector Databases:
    • Use vector databases and embeddings to detect unsafe content or model drift.
  • Collaborate with Engineers:
    • Work with ML engineers and product teams to integrate LLM safety components into production APIs or applications.
  • Stay Current with AI Research:
    • Keep up-to-date with AI safety research, emerging tools (Ragas, LangChain, Guardrails.ai), and regulatory standards (EU AI Act).
Required Skills and Qualifications
  • 1-3 years of experience in data science, applied ML, or LLM-based applications.
  • Strong programming skills in Python and experience writing SQL for data exploration or feature engineering.
  • Solid understanding of NLP, deep learning (CNN/RNN/Transformers), and LLM architectures.
  • Hands-on experience with Hugging Face, LangChain, LLM APIs (OpenAI, Anthropic), and vector stores (FAISS, Pinecone).
  • Familiarity with front-end basics (Streamlit, Dash) is a plus, not mandatory.
  • Experience with model evaluation, red-teaming, or safety interventions in NLP/LLM systems.
  • (Preferred) Familiarity with deploying ML pipelines in production (Docker, FastAPI).
Benefits

At our organization, we are committed to creating a safe and compliant AI ecosystem. As an LLM Safety Engineer, you will play a critical role in designing and building LLM guardrails, evaluating framework performance, and collaborating with cross-functional teams to ensure the highest level of safety and compliance.

Why This Role Matters

This position requires someone who can work effectively with multiple stakeholders to design and implement effective LLM safety solutions. The ideal candidate will have a passion for staying current with AI safety research and a strong understanding of NLP and deep learning concepts.

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