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Data Scientist (Agentic AI)

SpringCube

Full time - Senior Engineer

IT Services & Consulting

United States, Boston - Massachusetts

Published 4 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading healthcare technology organization is advancing clinical platforms through intelligent AI systems. The company focuses on building AI-driven solutions that improve clinical workflows, automate reasoning tasks, and provide actionable insights for healthcare professionals. Their teams leverage cutting-edge machine learning and AI research to deliver innovative tools that enhance patient care and operational efficiency.

About the Role
The Data Scientist will design and build intelligent AI agents and retrieval systems to power a clinical platform. This role involves developing multi-step reasoning systems, agent architectures, and knowledge infrastructure that enable AI to autonomously navigate complex clinical workflows.

Responsibilities

  • Design and build AI agents capable of multi-step clinical reasoning and tool use
  • Develop multi-agent systems that coordinate specialized AI components for complex analysis
  • Build intelligent retrieval and RAG (Retrieval-Augmented Generation) systems to ground agent actions in relevant patient data
  • Create agent orchestration frameworks that manage diverse clinical workflows
  • Implement document understanding pipelines for structured extraction from clinical documents
  • Optimize agent performance, reliability, and cost efficiency
  • Collaborate with research and engineering teams to implement cutting-edge AI solutions

Qualifications

Required

  • Strong foundation in deep learning frameworks (PyTorch) and LLM architectures
  • Experience building LLM-powered agents or multi-step reasoning systems
  • Familiarity with agent frameworks and tool-use patterns
  • Experience with retrieval systems, embeddings, and vector databases
  • Proficiency in Python and modern ML development tools
  • Ability to read and implement research papers
  • Excellent communication skills

Preferred

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field
  • Publications in ML/AI/NLP venues (NeurIPS, ICML, ICLR, ACL, EMNLP)
  • Experience with multi-agent coordination or orchestration systems
  • Background in healthcare data or clinical workflows
  • Experience with reinforcement learning for agent optimization (PPO, etc.)
  • Familiarity with document processing and information extraction

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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