[Remote] Senior AI Scientist (AI Agents)

Note: The job is a remote job and is open to candidates in USA. Claritev is a dynamic team focused on transforming healthcare through innovative AI solutions. They are seeking a Senior AI Scientist to design, develop, and deploy agentic AI systems that enhance business applications, requiring a blend of applied AI research and software engineering skills.

Responsibilities

• Research, design, and implement agentic workflows and LLM-driven systems tailored to business use cases.
• Apply deep expertise in machine learning, deep learning, and LLMs/ SLMs to advance core agent capabilities.
• Design system architectures for agent workflows (multi-step reasoning, tool use, memory, external integrations).
• Build prototypes and pipelines using modern agent frameworks (LangChain-Langgraph, LlamaIndex, Autogen, Agno, n8n etc.).
• Collaborate with product managers and engineers to scope problems, align with business goals, and define measurable outcomes.
• Develop experimental designs, evaluation harnesses, and monitoring methods to measure agent reliability, latency, and quality.
• Translate ambiguous business needs into structured scientific investigations and deliver data-driven insights.
• Author high-quality, production-leaning code that demonstrates both scientific rigor and software reliability.
• Stay current with advances in generative AI, LLMOps, and agentic architectures, applying them to solve practical challenges.
• Be excited about using Gen AI tools like AI coding agents to build AI applications.
• Mentor peers in applied science best practices, experimentation, and evaluation.
• Ensure compliance with HIPAA regulations and requirements when handling sensitive healthcare data.
• Demonstrate Company’s Core Competencies and values held within. Skills
• 4-6 years applied AI/ML science experience with production impact.
• 1-2 years of applied Gen AI and Agent building experience.
• Strong system design expertise in architecting agentic workflows (reasoning, tool use, orchestration, memory).
• Proficiency in Python, Agent Frameworks (Langchain-Laggraph, Autogen, Agno, n8n etc.), SQL and strong software engineering practices.
• Proficiency in RAG (Retrieval Augmented Generation) pipelines, and integrating RAG, memory, tools, MCP (Model Context Protocol) etc. for agent workflows.
• Solid foundation in ML theory: optimization, statistics, probability, deep learning.
• Experience building evaluation pipelines for LLM/agent performance (accuracy, reliability, latency).
• Familiarity with LLMOps practices (prompt engineering, retrieval augmentation, fine-tuning, monitoring).
• Product mindset — ability to align applied science work with business value.
• Proficiency in using AI Coding agents like Github Copilot, OpenAI Codex etc.
• Excellent communication and cross-functional collaboration skills.
• Master’s degree in Computer Science, Machine Learning, Data Science, or related field; Ph.D. preferred.

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
• Claritev is an independent and public healthcare technology, data and insights company making healthcare more transparent, fair and affordable for all. It was founded in 1980, and is headquartered in Mclean, Virginia, USA, with a workforce of 1001-5000 employees. Its website is https://www.claritev.com/. Company H1B Sponsorship
• Claritev has a track record of offering H1B sponsorships, with 24 in 2025, 53 in 2024, 40 in 2023, 42 in 2022, 38 in 2021, 29 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply To this Job

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