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AI Automation Engineer - Technology R&D at Careers Signant Health - QATestingJobs.com
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AI Automation Engineer - Technology R&D
Careers Signant Health • Romania
onsite
Posted Feb 10, 2026
Role & seniority: Senior AI Engineer focusing on automation (5+ years software engineering; leading automation initiatives in AI/automation)
Stack/tools: Python; n8n and other workflow automation platforms; LLM/SLM APIs; REST APIs and integrations; Git, CI/CD; prompt engineering; context engineering; monitoring dashboards; RAG patterns; AWS basics (certifications a plus)
Top 3 responsibilities
Develop AI applications and agents to automate business workflows (n8n + Python integrations); build end-to-end automation pipelines
Platform optimization and evaluation: measure agent accuracy/performance, monitor production workflows, implement prompt/context engineering, support A/B testing
Model development/fine-tuning: evaluate LLMs/SLMs, optimize inference, develop evaluation datasets, implement RAG for knowledge tasks, assist domain-specific customization
Must-have skills
5+ years software engineering experience; strong Python and production system development
2+ years hands-on with workflow automation platforms (n8n or similar)
Experience with REST APIs, webhooks, API integrations; version control (Git) and CI/CD
Experience with prompt engineering and developing/tests/evaluations for software systems
Nice-to-haves
Production AI/ML deployments; healthcare/life sciences domain experience
Familiarity with LangChain, Strands, CrewAI, LlamaIndex; model providers (OpenAI, Anthropic, Amazon Bedrock); vector DBs and RAG
AWS servic
Full Description
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
Model Development & Fine-Tuning
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 solutions
Work with the broader AI team to align on standards, tools, and approaches
Communicate technical concepts and automation capabilities to non-technical audiences
Contribute to documentation, knowledge sharing, and team learning initiatives
Participate in agile ceremonies, sprint planning, and team discussions
Support onboarding of new team members on automation tools and practices
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.
At Signant Health, accepting difference isn’t enough—we celebrate it, we support it, and we nurture it for the benefit of our team members, our clients and our community. Signant Health is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.
