AI Scientist

Remote

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.

Experience working with PII/PHI/HIPAA data is required. Experience working with healthcare data is strongly preferred. A Wisconsin resident is preferred for this role, but remote candidates will be considered.

RESPONSIBILITIES

  • Conduct cutting-edge research on LLMs and Generative AI agents to automate key revenue cycle processes, including exploring novel agent architectures (hierarchical, multi-agent, reinforcement learning-based).
  • Develop and implement advanced prompt engineering techniques to optimize LLM behavior within complex agent workflows.
  • Design, implement, and analyze experiments to evaluate and optimize LLM and agent performance on customer-focused and infrastructure tasks, focusing on robustness, explainability, adaptability, and bias mitigation for responsible use.
  • Utilize frameworks like LangChain or LangGraph to build and experiment with complex agent workflows.
  • Collaborate with engineering, ML Ops, and product teams to research and develop Generative AI training infrastructure and data pipelines.
  • Stay current with LLM and agent research, sharing findings, contributing to AI strategy, and guiding offshore teams on technical requirements and POCs.
  • Document research methods, findings, and recommendations, and transition research prototypes into deployable solutions. 

 

QUALIFICATIONS

  • Advanced degree (Ph.D. or Master's) in Computer Science, AI, or related field with a research focus.
  • 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 and libraries (e.g., PyTorch, TensorFlow).
  • Experience with LLM-related NLP techniques (transformers, attention mechanisms), data analysis, statistical modeling, and ML evaluation metrics.
  • Experience with vector search and search optimization techniques for RAG/CRAG.
  • Experience with LangChain/LangGraph (or similar) and LLM training/deployment on cloud infrastructure (AWS, GCP, Azure preferred).
  • Strong analytical, problem-solving, communication, and collaboration skills; ability to work independently and in teams. Healthcare data/revenue cycle experience a strong plus.

 

COMPENSATION

Compensation will be based on skills, experience, and performance.

 

ABOUT SIFT HEALTHCARE

Sift is a data science company working to improve payments operations and outcomes in the healthcare industry. We are a growing and dynamic team that is serious about technology. Based in Milwaukee, Wisconsin, Sift is thriving and looking for motivated team members who will help shape our culture. Sift offers competitive salaries and benefits. Learn more about Sift at www.sifthealthcare.com.

 

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