- Working across client teams to develop and architect Generative AI solutions using ML and GenAI
- Developing and promoting standards across the community
- Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies
- Working with leadership and stakeholders to identify AI opportunities and promote strategy
- Developing and conducting trainings for users across the Government & Public Services landscape on principles used to develop models and how to interact with models to facilitate their business processes
- Building and prioritizing backlog for future machine-learning enabled features to support client business processes
- Proven experience to translate insights into business recommendations
- 6+ years of professional experience
- 2+ years of experience programming in languages such as Perl, Python, R, PHP, and shell scripts
- 1+ years of experience with Natural Language Processing (NLP) and Large Language Models (LLM)
- 1+ years of experience building and maintaining scalable API solutions
- In depth understanding of AI protocols and standards
- Can code in one or more general purpose programming languages; C# and .NET programming languages are preferred
- Understanding of technology risks and the ability to assess and mitigate them
- Experience with debugging and troubleshooting software or solutions design issues
- Proven ability to stay current with best practices and new technology solutions in the field
- Ability to display both breadth and depth of knowledge regarding functional and technical issues
- Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical)ABOUT WAYSTAR
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Sr. Specialist Application Engineer - Duluth, United States - Waystar
Description
ABOUT THIS POSITION
We are looking for a Sr.
Specialist Application Engineer who will be responsible for developing, designing, and maintaining cutting-edge generative AI-based systems that will augment many of our product offerings.
Additionally, you will participate in a wide variety of Natural Language Processing activities such as optimizing prompts to improve the outcome of Large Language Models (LLMs) and performing code and design reviews.
WHAT YOU'LL DO
WHAT YOU'LL NEEDRequired Qualifications:
Preferred Qualifications:
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities.
Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers.
We are deeply committed to living out our organizational values:honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012.
WAYSTAR PERKS
Competitive total rewards (base salary + bonus, if applicable)Customizable benefits package (3 medical plans with Health Saving Account company match)Generous paid time off starting at 3 weeks + 13 paid holidays including 2 personal floating holidaysPaid parental leave (including maternity + paternity leave)Education assistance opportunities and free LinkedIn Learning accessFree mental health and family planning programs, including adoption assistance and fertility support401(K) program with company matchPet insuranceEmployee resource groups
Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion.
Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
