AI Scientist - Remote

Overview

Sift Healthcare is seeking a highly motivated and experienced AI Scientist to join our team and spearhead the exploration and development of next-generation Generative AI Agentic Workflow. The AI Scientist will be at the forefront of innovation at Sift, investigating and prototyping agent architectures, LLM prompting techniques, and learning algorithms to push the boundaries of what's possible in automating and optimizing the revenue cycle. This role demands a deep understanding of Large Language Models (LLMs), agent frameworks, and a passion for cutting-edge research. Experience with frameworks like LangChain or LangGraph is highly desirable. The AI Scientist will work closely with Sift’s data scientists, engineers, and architects to develop and validate new approaches, laying the groundwork for our AI Ops teams to deploy impactful solutions.

In Short

• Conduct cutting-edge research on LLMs and Generative AI agents to automate key revenue cycle processes.
• Develop and implement advanced prompt engineering techniques to optimize LLM behavior.
• Design, implement, and analyze experiments to evaluate and optimize LLM and agent performance.
• Utilize frameworks like LangChain or LangGraph to build and experiment with complex agent workflows.
• Collaborate with engineering, ML Ops, and product teams to develop Generative AI training infrastructure.
• Stay current with LLM and agent research, sharing findings and contributing to AI strategy.
• Document research methods, findings, and recommendations, transitioning prototypes into deployable solutions.

Requirements

• Advanced degree (Ph.D. or Master's) in Computer Science, AI, or related field.
• 3+ years of AI/ML research experience, specializing in NLP and Generative AI.
• Deep understanding of LLMs, agent architectures, and reinforcement learning.
• Proficient in Python and foundational frameworks (e.g., PyTorch, TensorFlow).
• Experience with LLM-related NLP techniques and data analysis.
• Experience with vector search and search optimization techniques.
• Experience with LangChain/LangGraph and LLM training/deployment on cloud infrastructure.
• Strong analytical, problem-solving, communication, and collaboration skills.

Benefits

• Competitive salaries and benefits.
• Opportunity to work on cutting-edge technology in healthcare.
• Dynamic and growing team environment.
• Ability to shape company culture.