Member of Technical Staff LLM/AI – MTS

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

Responsibilities may include, but are not limited to:

80% [Primary Function] Technical Execution

• 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).

10% Contributions to the Team

• 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.

5% Cross functional Coordination and Communication

• 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.

5% Mentorship of Others

• 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.

Education, Experience, & Skills Required:

• 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.

Behaviors & Abilities Required:

• Ability to learn and adapt in a fast-paced environment, particularly in AI and GenAI integration.
• Ability to write performant, scalable, and maintainable code for AI-powered applications.
• Critical thinking skills to assess AI-generated outputs and improve model reliability.
• Problem-solving mindset to identify alternative methods of solving software engineering and AI-related challenges.
• Proven track record of delivering AI-integrated features while following best practices in software development.
• Ability to collaborate on AI-driven solutions, working with cross-functional teams, data scientists, and software engineers.
• Curiosity and willingness to explore new AI models, tools, and frameworks for enhancing software applications with GenAI capabilities.

About athenahealth

Here’s our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

What’s unique about our locations?
From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India – plus numerous remote employees – all work to modernize the healthcare experience, together.

Our company culture might be our best feature.
We don’t take ourselves too seriously. But our work? That’s another story. athenahealth develops and implements products and services that support US healthcare: It’s our chance to create healthier futures for ourselves, for our family and friends, for everyone.

Our vibrant and talented employees – or athenistas, as we call ourselves – spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work.

Our size makes a difference, too: We are small enough that your individual contributions will stand out – but large enough to grow your career with our resources and established business stability.

Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth’s Corporate Social Responsibility (CSR) program, we’ve selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement.

What can we do for you?
Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces – some offices even welcome dogs.

In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And we provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.

We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.