WebMD · 1 month ago
Associate Applied Tech Developer
WebMD, through its division Medscape, develops physician portals and mobile applications to enhance clinical reference access for healthcare professionals. The Associate Applied Tech Developer will design and build internal tools, collaborate on technical solutions, 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
Qualification
Required
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
Familiarity with discrete mathematics and graph structures, supporting logic-driven models and multi-agent orchestration frameworks
Formal academic coursework in machine learning, statistical learning, or deep learning, with strong understanding of supervised/unsupervised learning and model evaluation
Preferred
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)
Company
WebMD
WebMD is a healthcare center that offers mental health, pain management, and breast cancer services.
H1B Sponsorship
WebMD has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (11)
2023 (15)
2022 (24)
2021 (23)
2020 (20)
Funding
Current Stage
Late StageTotal Funding
unknown1996-01-01Series Unknown
Leadership Team
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