Software Engineer - athenaCollector RCM-AI

About the position

In athenaCollector, we build technology solutions that automate Revenue Cycle Management (RCM) workflows-managing claims, billing, and payment processes for healthcare practices. Now, we're extending these capabilities with AI-powered workflows, leveraging existing LLM APIs (e.g., OpenAI, Azure OpenAI) to automate and optimize RCM processes. This role focuses on seamlessly integrating AI models into enterprise applications, ensuring high reliability, security, and scalability.

Responsibilities

• Contribute to accurate, unambiguous technical design specifications with appropriate detail, including GenAI-based system integration.
• Deliver customer value in the form of high-quality software components and AI-powered services while ensuring adherence to security, performance, longevity, and AI model integration best practices.
• Estimate the size of development tasks in story points.
• Understand and follow coding conventions, AI model integration architectures, and best practices for working with LLMs (Large Language Models).
• Write, debug, and deploy code to production, ensuring timely fixes and optimizations for GenAI-powered applications.
• Adhere to Definition of Done (DOD) as part of the sprint, including unit tests, functional testing, code reviews, API performance validation, AI model evaluation, and prompt tuning.
• Implement and optimize GenAI-based workflows (e.g., OpenAI APIs, LangChain, vector databases for RAG, AI-driven automation).
• Learn the domain knowledge for the assigned area, including how GenAI solutions can improve product offerings.
• Take ownership of GenAI-powered features and AI-driven automation post-release, ensuring continuous improvement.
• Participate in AI use case discussions, including LLM fine-tuning, retrieval-augmented generation (RAG), prompt engineering, and AI-based automation.
• Contribute to agile ceremonies to improve team performance.
• Volunteer for work in the backlog, including GenAI model integration tasks, and commit to high-quality delivery.
• Participate in scrum meetings (daily stand-ups, sprint planning, readouts, and retrospectives).
• Help determine how GenAI is leveraged effectively in collaboration with cross-functional teams.
• Work collaboratively across the Technology, Product, and AI/ML teams to ensure alignment toward GenAI integration goals.
• Build strong relationships with AI engineers, data scientists, and cross-functional team members to leverage AI capabilities in products.
• Share knowledge on GenAI best practices, AI integration strategies, and API-based AI services with team members.
• Participate in AI/ML discussions, helping others learn how to integrate and optimize GenAI models in software applications.

Requirements

• 2-4 years of experience in a software engineering role, with exposure to AI/ML concepts.
• Familiarity with working in an Agile environment preferred.
• Bachelor's Degree or equivalent in Computer Science, Engineering, or a related field.
• Software engineering experience, with exposure to AI model integration and generative AI frameworks.
• Knowledge of modern programming language such as: Python - preferred for AI applications.
• Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and modern data storage technologies.
• Experience with AI APIs and frameworks such as OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, ChromaDB).
• Exposure to object-oriented programming, RESTful APIs, distributed computing, WebU, and modern JavaScript frameworks.
• Understanding of GenAI model deployment in cloud environments (AWS or Azure).
• Familiarity with AI model evaluation techniques, including embeddings, retrieval-augmented generation (RAG), and prompt engineering.

Benefits

• Commuter support
• Employee assistance programs
• Tuition assistance
• Employee resource groups
• Collaborative workspaces
• Flexibility in work-life balance
• Sponsorship of events including book clubs, external speakers, and hackathons