About Judi Health Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: - Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers, - Judi Health™, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and - Judi®, the industry’s leading proprietary Enterprise Health Platform (EHP), which consolidates all claim administration-related workflows in one scalable, secure platform. Together with our clients, we’re rebuilding trust in healthcare in the U.S. and deploying the infrastructure we need for the care we deserve. To learn more, visit www.judi.health. Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer. We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. Responsibilities: - Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. - Develop and maintain backend services using Python, focusing on AI-driven applications. - Design and implement APIs for seamless integration with AI models and services. - Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development - Participate in code reviews, testing, and quality assurance processes. - Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. - Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. - Document and communicate development processes and implementation details with peers and supervisors - Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. Required Qualifications: - Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. - 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. - Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc. - Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. - Proficiency in Python and familiarity with ML libraries such as PyTorch. - Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. - Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. - The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. - Good written communication skills that enable collaboration in a remote environment. Salary Range $1,200,000—$1,500,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at https://www.judi.health/legal/privacy-policy.

• Spend the majority of your time "hands-on-keyboard," architecting and coding high-performance backend services and ML pipelines • Build and prototype new internal products from scratch that leverage LLMs and Agentic AI • Design and implement ML models that provide real-time recommendations • Develop the backend between custom quoting engine, Salesforce, and internal data lakes • Act as a domain expert to solve complex synchronization and architectural challenges • Drive engineering excellence through code reviews and automated testing • Deliver significant core capabilities that have broad impact • Anticipate shifts in product needs and build flexible backend systems • Ensure the reliability of GTM tools

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Systems Engineer, you will be responsible for designing, implementing, and expanding Zuora subscription billing and payment solutions and will bring a solid understanding of the Zuora Billing application and APIs, as well as experience integrating Zuora with other systems. In this role, you will collaborate with Product managers, Zuora internal technical resources, and other engineering teams in the R&D organization to design and deliver scalable technical solutions that meet growing business needs. A day in the life (Responsibilities) - Collaborate with stakeholders to understand project requirements and objectives related to Zuora Subscription Billing and Zuora Payment Develop and configure Zuora’s Product Catalog, including rate plans and pricing models, to meet business needs and support billing processes - Ensure the security and integrity of Zuora’s environment by implementing best practices and security measures - Experience with customizing Zuora using Zuora Workflows, Zuora API and ZOQL, and integrating Zuora with other financial platforms - Design and implement payment solutions using payment methods like Credit Card, Alternate Payment Methods (APMs), ACH, Direct Debit, etc. - Understand Payment Gateways, Country Specific requirements, Refund, Chargeback, Cancellation, and Network Tokenization - Configure and manage notifications within Zuora to keep partners, both internal and external, informed of key events and updates - Customize and design invoice templates in Zuora to align with branding guidelines and meet customer requirements - Provide guidance on billing processes and best practices, using domain knowledge to drive optimal solutions to lead business discussions with customers, discover requirement, frame a problem statement, lead solution workshops and deliver a Technical solution What you'll need to thrive (Requirements) - Experience with Zuora development, including Product Catalog, workflows, Security, Notifications, and Invoice Templates - Experience in translating requirements into technical specifications and solution design - Experience in requirements gathering, use cases documentation, business analysis, systems design and integration, user interface design and implementation - Experience in data analysis, conversion and migration, interfaces and reports - Experience with customizing Zuora using Workflows, Zuora API and ZOQL - Understand the Zuora Business Object model. - Lead and implemented Zuora Billing for 1 or more companies - 5+ years of experience with Zuora Billing What will help you stand out (Nonessential Skills/Nice to Haves) - Zuora Admin and Architect certifications - Experience with Zuora E-Invoicing features. - Knowledge of Zuora RevPro AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits. #LI-Remote The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range $168,000—$269,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

• Architect the ML Ecosystem: You will own the end-to-end lifecycle of our ML infrastructure, designing a scalable, modern environment that enables models to thrive in production. • Productionize Innovation: Partner closely with our Data Science team to take complex algorithms from the 'lab' to the 'real-world', building the high-performance pipelines required to scale them. • Engineer Feature Intelligence: Design and maintain both offline and online feature stores, ensuring our models have the high-quality data they need for instant decision-making. • Escale the Data Platform: Collaborate with Data Engineers to evolve our data lake and ETL architectures, ensuring our data platform remains robust and future-proof. • Ensure System Health: Lead the monitoring and observability strategy for all production models, ensuring reliability and performance through proactive maintenance. • Shape Technical Strategy: Act as a key stakeholder in architectural decisions, helping the broader team define the strategy for our data products and event-driven architectures.