Saviance · 1 hour ago
Senior Software Engineer – AI / Java (RCM)
BigRio is a trusted data, analytics, AI, and cloud partner specializing in healthcare and life sciences. They are seeking a Senior Software Engineer to join the Leading Healthcare Technology Company Collector team, tasked with building technology solutions that automate Revenue Cycle Management (RCM) and integrate AI-driven components.
Information Technology & Services
Responsibilities
Design, development, and delivery of Java-based backend services integrated with AI-powered components leveraging GenAI technologies such as OpenAI, Azure OpenAI, Hugging Face, LangChain, and LlamaIndex
Build and maintain scalable Java applications using Spring Boot, REST APIs, relational and NoSQL databases, ensuring seamless integration with AI-driven microservices and retrieval-augmented generation (RAG) models
Collaborate with AI engineers to incorporate vector databases (Pinecone, FAISS, ChromaDB) and AI retrieval pipelines into enterprise software
Develop, optimize, and deploy LLM prompt engineering solutions, embedding models, and AI-enhanced workflows targeting healthcare domain challenges in RCM and beyond
Estimate development efforts considering AI model inference latency, API rate limits, and backend service performance requirements
Participate actively in Agile ceremonies, sprint planning, and code reviews to ensure timely delivery of AI-enabled Java features with high quality and adherence to coding standards
Adhere to AI governance, ethical AI practices, and security compliance requirements (HIPAA, GDPR, SOC2), including AI model evaluation and benchmarking (BLEU, ROUGE, cosine similarity) as part of the development lifecycle
Qualification
Required
4+ years of software engineering experience with strong product development expertise
Hands-on experience developing products with AI / GenAI integration
Bachelor's Degree or equivalent experience in Computer Science, Engineering, or a closely related field
Proficiency in Java, Spring Boot, REST APIs, relational SQL and NoSQL databases, and cloud platforms (AWS or Azure)
Strong experience with AI frameworks and APIs including OpenAI GPT, Hugging Face Transformers, LangChain, and LlamaIndex
Familiarity with retrieval-augmented generation (RAG), LLM prompt engineering, embeddings, and vector similarity search using Pinecone, FAISS, or ChromaDB
Solid understanding of Unix/Linux environments, big data pipelines, and CI/CD practices in Agile development environments
Demonstrated ability to design, implement, and optimize AI model APIs, AI workflows, and Java backend services with attention to scalability, latency, and security
Strong problem-solving skills and a collaborative mindset, working effectively with cross-functional teams