Medscape, a division of WebMD, is looking to develop and host physician portals and related mobile applications to make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers. The company is seeking to design and build internal tools to support campaign planning, performance optimization, and automation, and to own end-to-end development of AI-powered features.
Requirements
- Proven experience developing Agentic AI systems using multi-agent frameworks like LangGraph or CrewAI
- Deep understanding of LLM orchestration, including: Memory (summarization, retrieval), Planning frameworks (ReAct, Tree of Thoughts, MRKL), Tool/function calling with OpenAI, Anthropic, or Gemini APIs, Reflection and self-evaluation loops
- Hands-on experience with Retrieval-Augmented Generation (RAG) using FAISS, Weaviate, or Chroma
- Built and deployed production-grade ML systems, including: Microservices for inference and preprocessing, Vector stores + retrievers for internal search and analytics agents, Feature stores and ML pipeline orchestration (Feast, Vertex AI)
- Proficient in end-to-end ML productization, CI/CD, Docker, Kubernetes, and deployment on AWS or GCP
- Strong SQL skills (joins, CTEs, window functions) with experience in BigQuery
- Solid frontend development background with React/Next.js and Tailwind CSS
Responsibilities
- Design and build internal tools to support campaign planning, performance optimization, and automation
- Collaborate closely with Product Leads to translate strategic goals into technical solutions that increase internal efficiency and unlock new business value
- Own end-to-end development of AI-powered features, such as natural language interfaces, tactic recommendation engines, and data visualization tools
- Apply machine learning, algorithmic logic, or statistical modeling where appropriate to enhance precision of recommendations and insights
- Optimize back-end systems for speed, modularity, and scale
- Participate in architectural planning for scalable internal platforms that can support a growing suite of Applied Technology tools
- Conduct rapid prototyping and iteration based on feedback from Sales, Strategy, and Measurement teams
Other
- 1+ years’ of professional or internship experience
- BS/ MS in Computer Science or Machine Learning
- Designed AI-driven user interfaces, including copilots, interactive dashboards, and dynamic filtering
- Familiarity with JavaScript/TypeScript component libraries (e.g., shadcn/ui, Chakra UI) and data viz tools (D3.js, Recharts)
- Strong foundation in mathematics for machine learning, including linear algebra, calculus, probability, and optimization techniques used in model training and evaluation
