Associate Applied Technology Developer

Summary

WebMD's Medscape division develops physician portals and mobile applications to enhance access to clinical information for healthcare professionals. The Associate Applied Technology Developer will design and build internal tools, collaborate with product leads, and develop AI-powered features to improve internal efficiency and business value.

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

Skills

• BS/ MS in Computer Science or Machine Learning
• 1+ years' of professional or internship experience
• 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
• 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
• Formal academic coursework in machine learning, statistical learning, or deep learning, with strong understanding of supervised/unsupervised learning and model evaluation
• Experience analyzing healthcare data
• Publication or co-authorship in top-tier AI research venues (e.g., NeurIPS, ICML, CVPR, ACL), demonstrating thought leadership and contribution to cutting-edge ML innovation

Qualifications

Must Haves

• BS/ MS in Computer Science or Machine Learning
• 1+ years' of professional or internship experience
• 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
• 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
• Formal academic coursework in machine learning, statistical learning, or deep learning, with strong understanding of supervised/unsupervised learning and model evaluation

Nice to Haves

• Experience analyzing healthcare data
• Publication or co-authorship in top-tier AI research venues (e.g., NeurIPS, ICML, CVPR, ACL), demonstrating thought leadership and contribution to cutting-edge ML innovation

Benefits

• Health Insurance (medical, dental, and vision coverage)
• Paid Time Off (including vacation, sick leave, and flexible holiday days)
• 401(k) Retirement Plan with employer matching
• Life and Disability Insurance
• Employee Assistance Program (EAP)
• Commuter and/or Transit Benefits (if applicable)