[Remote] Applied AI Scientist, Agentic AI

Note: The job is a remote job and is open to candidates in USA. Claritev is on a mission to simplify healthcare workflows and improve transparency. They are seeking an Applied AI Scientist to lead the research, development, and deployment of advanced machine learning and AI systems for healthcare products.

Responsibilities

• Assist in the development, testing, and deployment of machine learning and AI models
• Support the implementation of predictive, generative, and optimization models for healthcare use cases
• Contribute to data preprocessing, feature engineering, and model evaluation
• Conduct experiments and analyze results to improve model performance
• Assist in evaluating new AI techniques, including generative AI and agent-based systems
• Participate in prototyping and testing new approaches under guidance from senior team members
• Collaborate with Product and Engineering teams to help translate business requirements into technical solutions
• Support the development of AI-driven features and insights for healthcare applications
• Contribute to documenting results and communicating findings to stakeholders
• Write clean, maintainable, and well-documented code
• Assist in deploying models and supporting production systems
• Help monitor model performance and data quality over time
• Work closely with applied scientists, data scientists, engineers, and product managers
• Actively seek feedback and continuously improve technical and domain knowledge
• Contribute to a collaborative and knowledge-sharing team environment
• Follow best practices for data privacy, security, and responsible AI
• Support model validation and documentation efforts

Skills

• B.S, M.S., or Ph.D. in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field
• 0-3 years of hands-on industry experience applying Machine Learning (ML), Predictive Modeling, or Generative/Agentic AI in industry, with a proven track record of delivering solutions from prototype to production
• 0-1 year of hands-on experience with Generative AI and agent development
• Healthcare or health services experience is a plus
• Proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and agentic frameworks (e.g. LangChain, LangGraph, Autogen, crewAI, n8n)
• Familiarity in designing and implementing RAG pipelines, and integrating planning, memory, tools, MCP, and A2A protocol for agent workflows
• Familiarity in building evaluation pipelines for LLM and agent performance, including metrics such as accuracy, reliability, and latency
• Proficiency in using AI Coding tools like Github Copilot, OpenAI Codex etc
• Strong problem-solving skills and willingness to learn
• Good communication and collaboration skills

Benefits

• Medical, dental and vision coverage with low deductible & copay
• Life insurance
• Short and long-term disability
• Paid Parental Leave
• 401(k) + match
• Employee Stock Purchase Plan
• Generous Paid Time Off - accrued based on years of service
• 10 paid company holidays
• Tuition reimbursement
• Flexible Spending Account
• Employee Assistance Program
• Sick time benefits - for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year, unless the laws of the state in which the employee is located provide for more generous sick time benefits.

Company Overview

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