Liberate is looking to automate complex problems in the $2.7T insurance industry by leveraging LLM-powered conversational AI and automation pipelines.
Requirements
- Strong ML/NLP background with hands-on experience in LLMs.
- Experience in working with Python, SQL
- Experience of developing and deploying services and application using AWS
- Experience with conversational AI, speech-to-text, or text-to-speech systems.
- Post training methods for LLMs such as supervised fine tuning and preference optimization
- PyTorch/TensorFlow
- Working knowledge of AI frameworks (Hugging Face, LangChain, etc.).
Responsibilities
- Build LLM-driven pipelines for information extraction and workflow automation in insurance.
- Develop multi-turn, long-context agents that work seamlessly across modalities (voice, text, email).
- Fine-tune and deploy models to deliver accurate, compliant, and high-impact solutions.
- Work with cutting-edge speech, NLP, and multimodal AI technologies.
Other
- Boston, MA hybrid role, 2 days per week in-office
