Senior Software Engineer

Senior Software Engineer - AI & Data Engineering at athenahealth We work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. Base Pay Range $119,000.00/yr - $203,000.00/yr Responsibilities 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 testing LLM performance benchmarking (BLEU, ROUGE, cosine similarity) AI model validation & API response optimization (temperature, top?k, max tokens) Code reviews, bug fixes, documentation Adherence to AI governance & responsible AI practices 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 refinement Prompt engineering for better accuracy LLM evaluation and response optimization Participate 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. Cross?Functional Coordination and Communication Work collaboratively across Technology, Product, AI/ML, and DevOps teams to align AI?driven enhancements with business goals. Build strong relationships with AI engineers, data scientists, and cloud architects to optimize LLM?based applications. Ensure AI compliance with security, ethical AI policies, and privacy standards (HIPAA, GDPR, SOC2, AI governance best practices). Mentorship of Others Train and mentor developers on GenAI integration, AI API usage, embeddings, and vector search optimizations. Guide the team on LLM prompt engineering, RAG model improvements, and API latency optimization. Encourage adoption of AI?enhanced developer workflows (e.g., Copilot, AI?assisted code generation, AI?powered testing). Education, Experience, & Skills Required 510 years of experience in an engineering role, with exposure to AI/ML concepts. Experience in an Agile environment preferred. Bachelors Degree or equivalent in Computer Science, Engineering, or related field. Strong software engineering experience, including AI model integration and GenAI API workflows. Knowledge of modern programming languages: Python (preferred for AI applications) Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and AI data pipelines. Experience with AI frameworks and APIs such as OpenAI GPT, Hugging Face Transformers, LangChain, LlamaIndex. Exposure to retrieval?augmented generation (RAG), embeddings, and AI search optimization techniques. Understanding of vector databases (FAISS, Pinecone, ChromaDB) and similarity search models. Proficiency in cloud?based AI deployments (AWS or Azure OpenAI). Strong grasp of GenAI model evaluation techniques (BLEU, ROUGE, BERT Score, cosine similarity metrics). Behaviors & Abilities Required Ability to design and implement AI?powered solutions that improve software functionality. Problem?solving mindset to debug and optimize AI?generated responses. Ability to collaborate across AI, DevOps, and software engineering teams for seamless AI model integration. Experience in AI?driven feature development, from prompt engineering to embedding optimization. Ability to assess AI?generated content for bias, accuracy, and compliance. Strong analytical skills to measure AI model performance and recommend improvements. Curiosity and eagerness to explore new AI models, tools, and best practices for scalable GenAI deployment. Expected Compensation $119,000 $203,000. Base salary is one part of our competitive total rewards package, which includes short? and long?term incentives, variable compensation plans, and equity. About Athenahealth Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients powered by our vision to create a thriving ecosystem that delivers accessible, high?quality, and sustainable healthcare for all. What We Can Do For You Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, and employee resource groups. We encourage a better work?life balance and flex work options, and we sponsor events such as book clubs, external speakers, and hackathons to foster learning and community. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, veteran status, or disability status. #J-18808-Ljbffr