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Principal Full Stack Software Engineer (AI Applications)
remote from anywhere in India #LI-Remote

Description
Principal Full Stack Software Engineer (AI Applications) will be responsible for designing, developing, and maintaining modern healthcare-focused applications that support clinical, research, and enterprise R&D; AAAI initiatives across the R&D; organization. This role will lead the development of secure, scalable, AI-enabled web applications and APIs within an AWS cloud environment, with a strong emphasis on product development, user experience, and delivery of intelligent software solutions.

Essential Functions
Design, develop, and maintain full stack web applications using Python, Java, C++ and modern frontend frameworks.
Build scalable backend services and APIs using Python frameworks such as FastAPI, Flask, or Django.
Develop responsive, intuitive, and secure user interfaces using React, TypeScript, JavaScript, HTML5, CSS and Tailwind.
Build healthcare and research applications that support clinical, operational, and AI-enabled workflows.
Collaborate with Product, AI/ML/Data Engineering, IT / Infrastructure and Business teams to translate requirements into effective software solutions.
Design and develop application features that incorporate AI/ML capabilities.
Integrate AI services and machine learning models into production applications through APIs and service interfaces.
Work with AI/ML teams to support model inference, prompt-based experiences, and AI-powered workflows in healthcare use cases.
Build secure and scalable application components within the AWS environment using services such as EC2, Lambda, ECS/EKS, API Gateway, S3, CloudFront, CloudWatch, and IAM.
Implement authentication, authorization, role-based access, and secure data handling patterns appropriate for regulated healthcare environments.
Develop integrations with internal and external systems using APIs, event-driven patterns, and secure service communication.
Create and maintain automated unit, integration,



and end-to-end tests to ensure software quality and reliability.
Support CI/CD practices and modern software delivery workflows using tools such as GitHub Actions, Jenkins, or AWS CodePipeline.
Contribute to application monitoring, logging, and troubleshooting to ensure performance, stability, and maintainability.
Participate in architecture and design reviews, providing input on application structure, scalability, security, and AI integration patterns.
Document application behavior, technical designs, and operational procedures.
Ensure solutions align with healthcare privacy, security, and regulatory expectations including HIPAA, GDPR, and GxP-aligned practices where applicable.
Mentor other engineers and contribute to engineering standards, code quality, and technical best practices.

Required Knowledge, Skills and Abilities
Strong proficiency in Python, Java, C++ development with experience building enterprise or healthcare software applications.
Strong experience with modern frontend frameworks such as React, Angular, or Vue.js.
Experience designing and developing REST APIs and application backends.
Strong understanding of AWS services used for application development and deployment.
Experience building secure, scalable web applications in cloud environments.
Experience with authentication, authorization, and secure application design patterns.
Strong understanding of application testing practices, including unit, integration, and end-to-end testing.
Experience integrating third-party services, APIs, and internal systems.




Experience developing applications that incorporate AI/ML capabilities or intelligent workflows.
Familiarity with AI/ML application patterns such as model inference, LLM integration, prompt-driven experiences, search/retrieval, summarization, or recommendation features.
Experience working with Data Science or ML teams to productionize AI-driven application features.
Knowledge of healthcare privacy, security, and regulatory requirements, including HIPAA and GDPR.
Robust analytical, troubleshooting, and problem-solving abilities.
Excellent communication skills and ability to work effectively with cross-functional stakeholders.
Experience working in Agile/Scrum development environments.

Preferred Knowledge, Skills and Abilities
Experience in Healthcare, Life Sciences, Pharmaceutical, Biotechnology, Clinical Research, or Medical Device environments.
Experience building AI-enabled healthcare applications, clinical decision support tools, or intelligent workflow solutions.
Experience developing event-driven or service-oriented application architectures.
Knowledge of software architecture patterns and enterprise integration practices.
Familiarity with regulated software development, validation, documentation, and change control practices.

Required/Preferred Education
Preferred Bachelor s degree in Computer Science, Software Engineering, Information Technology, Data Science, Bioinformatics, Mathematics, or a related technical discipline required.
5+ years of professional software engineering experience.
3+ years of experience designing and deploying cloud-native applications within AWS environments.
Demonstrated experience delivering complex software projects from design through production support. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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📌 Principal Full Stack Software Engineer (AI Applications) (Karnataka)
🏢 Atorus
📍 Karnataka