Job Description
About Signant Health
At Signant Health, we help bring life-changing treatments to patients faster. We are a global evidence generation company that supports clinical trials with smart technology, scientific expertise, and hands-on operational support — so better data leads to better decisions in healthcare. We embrace AI and advanced technologies to enhance every aspect of what we do, from data analysis to operational efficiency.
Our teams work at the intersection of science, technology, and patient experience, delivering digital solutions powered by AI innovation that make clinical trials more efficient, more accurate, and more accessible around the world. Trusted by leading pharmaceutical companies and CROs, our platforms and services support studies across 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 — including the opportunity to work with cutting-edge AI technologies — you will find purpose and opportunity at Signant Health.
About the Role
We are looking for an AI Engineer – Automation to join our R&D team and help shape the way Signant Health operates. This is a hands-on engineering role focused on building intelligent automation that makes a real difference — reducing manual effort, improving accuracy, and enabling our teams to focus on what matters most.
You will design and deliver AI-powered workflows and agents using Python, n8n, and leading LLM APIs — integrating them into the systems our business depends on every day. Working within the AI team and reporting to the Head of AI, you will apply prompt engineering, build evaluation frameworks, and continuously improve automation performance. If you enjoy solving real problems with modern AI tooling and want your work to have tangible impact, this role is for you.
What You Will Do
Build and optimise automation
• Design and develop AI agents and automation workflows using n8n and Python
• Build integrations with internal systems, third-party APIs, and enterprise applications
• Implement document processing, data extraction, and content generation pipelines
• Develop and deploy LLM-based agents for specific business automation use cases
• Write clean, well-documented code and contribute to code reviews
Measure and improve performance
• Develop evaluation methods to measure agent accuracy, reliability, and output quality
• Build and maintain monitoring dashboards for production automation workflows
• Apply prompt and context engineering techniques to improve automation outcomes
• Troubleshoot failures and drive continuous improvement
Support model development
• Evaluate and select LLMs and SLMs appropriate for automation use cases
• Implement RAG patterns for knowledge-intensive tasks
• Assist with fine-tuning and model customisation for domain-specific applications
• Stay current with emerging AI technologies and recommend practical applications
Collaborate and contribute
• Partner with business stakeholders to understand requirements and deliver solutions
• Communicate technical concepts clearly to non-technical audiences
• Contribute to documentation, knowledge sharing, and team learning
• Participate in agile ceremonies and support onboarding of new team members
• Follow Signant Health's security policies and healthcare data handling standards
Preferred Qualifications
• 5+ years of software engineering experience with strong Python proficiency
• 2+ years of hands-on experience with workflow automation platforms (n8n, Zapier, Make, Airflow, or similar)
• Solid experience with RESTful APIs, webhooks, and system integration patterns
• Working knowledge of prompt engineering techniques for production systems
• Experience developing and implementing tests and evaluations for software systems
• Proficiency with Git and CI/CD concepts
• Bachelor's degree in Computer Science, Software Engineering, or related field — or equivalent demonstrated expertise
Desired Qualifications
• Experience building and deploying AI/ML applications in production environments
• Familiarity with modern AI frameworks such as LangChain, LlamaIndex, CrewAI, or Strands
• Knowledge of vector databases, embeddings, and RAG architectures
• Experience with AWS services (Lambda, Step Functions, API Gateway, Bedrock) — AWS certifications a plus
• Familiarity with containerisation (Docker) and cloud deployment
• Experience with enterprise integrations (Salesforce, ServiceNow, Jira, Confluence)
• Background in natural language processing or document processing
• Experience in healthcare, life sciences, or clinical trials industry
Why Signant Health?
At Signant Health, your work has real impact. Everything we build, support, and deliver helps advance clinical research and bring new treatments to patients faster — improving lives around the world. Our teams combine science, technology, and operational expertise to solve complex clinical trial challenges, and every role contributes to that mission.
We offer a collaborative, global environment where you can grow your career while working alongside experts across clinical, technology, data, and operations, with opportunities to learn, take ownership, and drive meaningful innovation — not just maintain the status quo.
If you are looking for purpose-driven work, smart colleagues, and the opportunity to help shape the future of clinical research and digital health, Signant Health is the place to do it.
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