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Careers Signant Health • Iași, Romania
Role & seniority: Senior AI Engineer focusing on automation
Stack/tools: Python; n8n (workflow automation); LLM/SLM APIs; REST/Webhooks; AI frameworks (e.g., LangChain, RAG patterns); vector databases; AWS (Lambda/Step Functions); Git/CI-CD; documentation and monitoring dashboards
Develop AI applications and agents to automate business workflows using n8n and Python integrations; build reusable automation components and deploy LLM-based agents
Implement evaluation, monitoring, and optimization of automation—including prompts/context, dashboards, A/B testing, and performance improvements
Support model selection, fine-tuning, RAG implementations, and integration with internal/third-party systems; ensure security/compliance and lead collaboration with stakeholders
5+ years software engineering experience; strong Python proficiency
2+ years hands-on with workflow automation platforms (n8n or equivalent)
Experience with REST APIs, integrations, automation scripting; Git and CI/CD
Prompt engineering and basic model evaluation; ability to write clean, tested code
Production AI/ML sense, healthcare/clinical trials experience, or healthcare data familiarity
Experience with AWS services, Docker, and enterprise integrations (Salesforce, Jira, ServiceNow)
Familiarity with LangChain, vector databases, RAG, and model providers (OpenAI, Anthropic, Bedrock)
Knowledge of security
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.
Preferred Qualifications Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience Strong candidates without formal degrees will be considered based on demonstrated expertise through portfolio, open-source contributions, or professional track record AWS Solutions Architect or Developer certification preferred AWS AI/ML certifications are a plus Experience
Required: 5+ years of software engineering experience with strong proficiency in Python and production system development 2+ years of hands-on experience with workflow automation platforms, with strong expertise in n8n or similar tools (Zapier, Make, Temporal, Airflow) Extensive Python development experience with focus on automation, integrations, and API development Strong Python development experience with focus on automation, scripting, and API integrations Working knowledge of prompt engineering techniques for production systems Experience developing and implementing tests and evaluations for software systems Experience with RESTful APIs, webhooks, and system integration patterns Proficiency with version control (Git) and CI/CD concepts Solid understanding of software development best practices Desired Qualifications Experience building and deploying AI/ML applications in production environments Experience in healthcare, life sciences, or clinical trials industry Familiarity with clinical trial workflows or healthcare data standards Familiarity with modern AI frameworks (Strands, LangChain, CrewAI, LlamaIndex) and model providers (Amazon Bedrock, Anthropic, OpenAI, Gemini) Knowledge of vector databases, embeddings, and RAG architectures Experience with AWS services (Lambda, Step Functions, API Gateway) Familiarity with containerization (Docker) and cloud deployment Experience with enterprise integrations (Salesforce, ServiceNow, Jira, Confluence) Background in natural language processing or document processing Experience with agile development methodologies 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.