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Mid-level AI role with common title but niche LLM/RAG expertise reduces applicant density.
LLM/ML skills are transferable, but healthcare RCM domain knowledge increases fit sensitivity.
Requires specific Java/Spring and LLM/RAG tooling experience and 5+ years, so high filtering.
Develop and maintain AI-powered applications and services focused on Revenue Cycle Management technology automation.
Design AI/ML workflows involving LLMs, embeddings, vector search, and RAG pipelines ensuring production-ready, secure, and optimized systems.
Drive technical innovation through continuous learning and contributions to emerging generative AI technologies and open-source projects.
Bachelor’s degree in Computer Science, Engineering, IT, or related field.
3–5+ years experience with Java/Spring Boot and distributed systems.
Hands-on experience with LLMs, RAG, prompt design, embeddings, vector search, and model APIs.
Experience with at least one SDK/tool: OpenAI Agents SDK, Claude Agent SDK, LangGraph, Spring AI, or LangChain4j.
Strong background in developing scalable and secure AI solutions, particularly in generative AI and advanced NLP workflows.
Experience working in production environments requiring system optimization, monitoring, and AI security measures.
Familiarity with integration of AI tools and frameworks emphasizing practical implementation and performance in healthcare-related automation.