Description
WebMD Health Corp., an Internet Brands Company, is the leading provider of health information services, serving patients, physicians, health care professionals, employers, and health plans through our public and private online portals, mobile platforms, and health-focused publications. The WebMD Health Network includes WebMD Health, Medscape, Jobson Healthcare Information, prIME Oncology, MediQuality, Frontline, QxMD, Vitals Consumer Services, MedicineNet, eMedicineHealth, RxList, OnHealth, Medscape Education, and other owned WebMD sites. WebMD®, Medscape®, CME Circle®, Medpulse®, eMedicine®, MedicineNet®, theheart.org®, and RxList® are among the trademarks of WebMD Health Corp. or its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
For Company details, visit our website: www.webmd.com
Education: B.E. Computer Science/IT degree (or any other engineering discipline)
- Python
- Strong skills in Python programming, including object-oriented programming, and understanding of security best practices.
- Experience with popular Python frameworks like Django, Flask, and FastAPI.
- Generative AI
- 2+ years of professional experience working with Large Language Models (LLM) and GenAI technologies, including tools and frameworks such as OpenAI API, ChatGPT, LangChain, Hugging Face Transformers, PyTorch, or similar.
- 1+ years of experience with prompt engineering.
- 1+ years of experience with vector databases.
- Experience with fine-tuning GenAI models would be an added advantage.
- Version Control System
- Working with a source code system like Git with an understanding of processes like branches and merge requests.
- Basic familiarity with webpack / babel / gulp.
- Unit Testing
- Experience in writing and executing automated tests with any testing framework to ensure code quality and reliability.
- Strong unit testing skills to effectively validate the code and catch bugs early in the development cycle, leading to more robust and maintainable software solutions.
- Design
- Understanding business and product requirements, determining possible solutions, designing the chosen solution, documenting it, and communicating the same to stakeholders.
- Incorporating Generative AI technologies into designs to enhance solution capabilities.
- Implementing & Testing
- Developing the code according to the solution, building it, and testing it using unit tests and integration tests.
- Supporting & Operationalization
- Understanding and deploying your finished work into integration and production environments using proper build and code merge procedures.
- Learning to use the various DevOps tools and processes in the Helios platform, including logging, monitoring, and multi-data center scaling.
- Learning & Mentoring
- Technology evolves rapidly, so a willingness to learn new tools and techniques is crucial for staying relevant in the field.
- Mentoring team members on learning current and evolving SDLC processes and technical skills.
- Upskilling team members on GenAI tools and frameworks.
- Communication & Collaboration
- Communicating effectively with stakeholders and team members about status, requirements, and technical solutions.
- Updating internal tools like Jira and YouTrack in a timely manner.
- Collaborating closely with fellow developers, architects, product owners, and other stakeholders in crafting solutions to product goals.

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