Senior Software Engineer @ athenahealth

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.Job Title: Senior Member of Technical Staff (SMTS)Responsibilities may include, but are not limited to: 50% [Primary Function] Technical Execution Contribute to accurate, unambiguous technical design specifications, including GenAI system integration and AI-enhanced workflows.Deliver customer value in the form of high-quality AI-powered software components and services, ensuring adherence to security, performance, longevity, and AI-driven automation best practices.Estimate the size of development tasks in story points, considering LLM inference latency and AI API rate limits.Understand and follow coding conventions, architectures, and best practices for GenAI-powered applications, LLM prompt engineering, and RAG (Retrieval-Augmented Generation) models.Write, debug, and deploy code to production, ensuring timely fixes for GenAI-based APIs, embeddings, and AI-driven microservices.Integrate and optimize OpenAI, Azure OpenAI, Hugging Face, LangChain, and LlamaIndex into enterprise applications.Leverage vector databases (Pinecone, FAISS, ChromaDB) for similarity search and AI retrieval pipelines.Adhere to Definition of Done (DOD) as part of the sprint, including:Unit tests, functional testingLLM performance benchmarking (BLEU, ROUGE, cosine similarity)AI model validation & API response optimization (temperature, top-k, max tokens)Code reviews, bug fixes, documentationAdherence to AI governance & responsible AI practices30% Contributions to the Team Learn domain-specific AI applications, including GenAI capabilities in automation, search, and AI-assisted decision-making.Take ownership of AI-enhanced product features, ensuring continuous model improvement and fine-tuning strategies.Contribute to agile ceremonies with a focus on AI-driven solutions and optimizations.Volunteer for GenAI-focused backlog items, such as:RAG model refinementPrompt engineering for better accuracyLLM evaluation and response optimizationParticipate in scrum meetings (daily stand-ups, sprint planning, readouts, retrospectives) with a focus on AI model iteration and feature scaling.Drive self-organization in AI workflows, ensuring GenAI is used effectively across teams.10% Cross functional Coordination and Communication Work collaboratively across Technology, Product, AI/ML, and DevOps teams to align AI-driven enhancements with business goals.Build…

Apply Now