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AI Automation Engineer - Technology R&D

Job in Romania, Somerset County, Pennsylvania, USA
Listing for: Signant Health
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    AI Engineer, Data Science Manager, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Romania

Posted Tuesday, February 10, 2026 at 10:00 PM

About Signant Health

At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company supporting clinical trials through smart technology, scientific expertise, and hands‑on operational support — because better data leads to better healthcare decisions. Our teams work at the intersection of science, technology, and patient experience, delivering digital solutions that make clinical trials more efficient, accurate, and accessible worldwide.

Trusted by leading pharmaceutical companies and CROs, our platforms and services support studies in more than 90 countries and have contributed to hundreds of new drug approvals. If you are motivated by meaningful work, global impact, and innovation in clinical research and digital health, you will find purpose — and opportunity — at Signant Health.

About the Role

We are seeking an AI Engineer focusing on automation responsible for building and optimizing AI‑powered applications and agents that automate workflows across Signant Health. This role focuses on developing reliable automation solutions using n8n workflows, AI agents, and custom integrations to improve operational efficiency and accuracy. The AI Engineer will work with Python, LLM APIs, and workflow automation platforms to create intelligent automation that integrates with existing systems and tools.

Working as part of the AI team, this individual will implement prompt engineering and context engineering techniques to optimize agent performance, develop evaluation methods to measure automation accuracy, and contribute to the continuous improvement of automation capabilities. The ideal candidate brings solid experience in workflow automation development, a strong Python foundation, and enthusiasm for building AI‑powered solutions that deliver tangible business value.

What you will do:

Application Development
  • Develop AI applications and agents that automate business workflows using n8n and custom Python integrations
  • Build automation pipelines that integrate with internal systems, third‑party APIs, and enterprise applications
  • Implement document processing, data extraction, and content generation workflows using AI techniques
  • Create and maintain reusable automation components, templates, and integrations
  • Develop and deploy LLM‑based agents for specific automation use cases
  • Write clean, well‑documented code following established standards and patterns
  • Participate in code reviews and contribute to improving codebase quality
Platform Optimization & Evaluation
  • Implement evaluation methods to measure agent accuracy, reliability, and performance
  • Develop and maintain monitoring dashboards for production automation workflows
  • Optimize n8n workflow performance through efficient node design and error handling
  • Apply prompt engineering and context engineering techniques to improve automation accuracy
  • Support A/B testing and experimentation to improve automation outcomes
  • Document automation performance metrics and track improvement over time
  • Troubleshoot automation failures and implement fixes
  • Support selection and evaluation of LLMs and SLMs for automation use cases
  • Implement inference optimization strategies to improve latency and reduce costs
  • Develop and maintain evaluation datasets for model performance assessment
  • Implement retrieval‑augmented generation (RAG) patterns for knowledge‑intensive automation tasks
  • Stay current with emerging AI technologies and recommend applications for automation
  • Assist with fine‑tuning and model customization for domain‑specific tasks
Security & Compliance
  • Follow Signant Health's security policies and healthcare industry regulations in all automation development
  • Implement secure credential management and data handling patterns in automation workflows
  • Ensure proper data classification and handling throughout automation pipelines
  • Maintain audit logging for automated processes
  • Participate in security reviews of automation solutions
Collaboration & Technical Leadership
  • Collaborate with team members to develop and improve automation solutions
  • Partner with business stakeholders to understand requirements and deliver…
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