We are seeking an Associate Software Engineer to join a cutting-edge initiative aimed at transforming the regulatory submission process through Generative AI , structured content management , and data-driven automation .
This position plays a pivotal role in designing and building scalable, high-performance software solutions for regulatory labeling systems that align with global pharmaceutical compliance standards.
This is a hands-on development role, where you'll work on modern software stacks and collaborate closely with product managers, designers, and engineers to enable automated content authoring , data mapping, and system integrations within a regulated environment.
Key Responsibilities :
- Design, develop, and maintain scalable front-end and back-end systems for GenAI-driven content authoring and regulatory data management.
- Build and integrate APIs and services that support structured content creation, storage, and presentation.
- Develop user interfaces using React and backend services using Python , with potential exposure to Java or Node.js as applicable.
- Deploy and manage infrastructure using Infrastructure-as-Code (IaC) tools for services on AWS (e.g., Lambda, ECS, RDS, S3, DynamoDB).
- Participate in system design, code reviews, and cross-functional technical discussions.
- Monitor system performance, handle bugs, implement enhancements, and contribute to system scalability and resilience.
- Maintain clear, structured technical documentation and deployment records.
- Stay informed of emerging technologies, best practices in GenAI, cloud development, and pharmaceutical regulatory tech.
- Collaborate with global, cross-functional teams including Product, Regulatory Affairs, and Business Strategy.
Basic Qualifications :
Bachelor's degree and 0–3 years of experience in Computer Science, IT, or a related field; ORDiploma and 4–7 years of relevant experience.Must-Have Technical Skills :
Experience with at least one backend programming language (e.g., Python , Java , Node.js ) and one frontend framework ( React , Angular , etc.).Working knowledge of SQL or NoSQL databases and data integration.Familiarity with RESTful APIs , data modeling, and mapping data to ontologies or dictionaries.Exposure to Agile development , Jira , and team collaboration tools.Ability to write clean, maintainable, and testable code with focus on software quality and reusability.Good-to-Have Skills :
Experience with GenAI content generation platforms (e.g., OpenAI, Hugging Face, LangChain).Familiarity with CI / CD pipelines , version control ( Git ), and automated testing frameworks.Experience managing cloud infrastructure and deployments using Terraform , CloudFormation , or similar.Understanding of pharmaceutical regulatory standards (e.g., eCTD, ICH M4, USPI) and structured labeling.Soft Skills & Attributes :
Strong analytical and debugging capabilities.Clear and effective written and verbal communication.Highly collaborative and able to thrive in virtual, cross-functional teams.Self-motivated with strong organizational and multitasking abilities.Team-oriented mindset with a focus on innovation and continuous improvement.Confidence in public speaking and presenting technical solutions.What We Offer :
Exposure to advanced AI-driven digital transformation in a global pharmaceutical setting.Opportunity to work on enterprise-grade cloud-native platforms with real-world impact.Mentorship and learning pathways to grow within software engineering and AI development.Competitive salary, benefits, and flexibility in work models.Skills Required
Python, Cloud Services, Troubleshooting