This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a skilled Artificial Intelligence Engineer to join our team and contribute to enhancing our AI-driven Electronic Health Record (EHR) systems. This role focuses on developing and refining AI prompts to improve natural language processing (NLP) applications for healthcare workflows. Additionally, you will build applications that enhance user interactions with language-based data, ensuring seamless integration and effective utilization of AI capabilities within our healthcare solutions. - Develop and refine prompts to ensure optimal performance of Large Language Models (LLMs) in healthcare applications. - Experiment with various prompt strategies and assess their impact on model responses. - Collaborate with developers and domain experts to integrate LLM capabilities into WRS Health’s EHR platforms. - Ensure prompts support accurate, context-aware responses tailored to healthcare-specific needs. - Evaluate and analyze model outputs to identify inconsistencies or areas for improvement. - Collaborate with data scientists to fine-tune models using healthcare-specific datasets. - Work closely with healthcare professionals and cross-functional teams to ensure LLMs align with user needs. - Educate internal teams on prompt engineering best practices and AI applications in healthcare. - Document prompt engineering methodologies, experiments, and outcomes for future reference. - Regularly report progress, challenges, and insights to stakeholders. Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Computational Linguistics, or a related field. - Proven experience with prompt engineering and fine-tuning Large Language Models (e.g., OpenAI GPT, Claude, Llama). - Hands-on experience in developing and deploying NLP models, particularly in the healthcare domain, is a plus. - Proven experience in developing and deploying machine learning models. - Strong programming skills in Python and other relevant languages. - Proficiency in Python and NLP libraries (e.g., Hugging Face, spaCy, NLTK). - Familiarity with APIs for interacting with LLMs and cloud platforms. - Knowledge with Lang Chain or other following LLM system building frameworks such as LlamaIndex, AgentGPT, Flowise, Tensorflow, GPT3 by OpenAI and others. - Background in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps). - Understanding of healthcare terminology and workflows is highly desirable. - Strong problem-solving and analytical abilities. - Excellent communication skills and the ability to work in cross-functional teams. - Detail-oriented with a focus on delivering high-quality solutions. Requirements - Location: Remote - Hours: Available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST) Company Description WRS Health delivers a fully integrated cloud-based EMR and practice management solutions to its clients. We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination, and billing.

Logistics at full potential. At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of. We’re out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As an AI Engineer specializing in Generative AI products, you will design, develop, and deploy GenAI-powered applications that enhance supply chain operations. You will work at the intersection of AI research and engineering, transforming large language models and multimodal systems into scalable, production-ready tools that drive automation, decision-making, and customer experience across GXO’s logistics network. Pay, benefits and more. We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan. What you’ll do on a typical day: - Design, develop, deploy, and maintain AI agents and software that enhance and support supply chain operations and technology. - Apply prompt engineering, Retrieval-Augmented Generation (RAG), LLM orchestration frameworks, MCP/function calling, evaluation techniques, and guardrails to optimize LLM integrations and build AI agents tailored to enterprise use cases. - Ensure software engineering, DevOps, and cybersecurity best practices in development and deployment, including CI/CD pipelines, source control, and secure coding standards. - Design and build, or collaborate with data engineering teams to develop, data models and pipelines that support and feed AI solutions, ensuring scalability, reliability, and data quality. - Develop AI agent software and integrations using Python, SQL, and frameworks such as Flask and FastAPI. - Build agile and portable AI solutions using containerization tools like Docker and Kubernetes. - Collaborate with business and product stakeholders to understand use cases and educate teams on AI capabilities. - Work closely with IT teams (infrastructure, InfoSec, data engineering) to define internal requirements and ensure seamless integration. - Communicate effectively with leadership to secure resources, address issues, and provide project updates. - Take ownership of projects end-to-end with minimal supervision. - Mentor junior engineers on best practices in AI and software development through pair programming, code reviews, and architectural guidance. - Stay current on emerging AI technologies and trends and contribute to the organization’s AI roadmap. At a minimum, you’ll need: - 3–5 years of experience in software engineering, AI/ML engineering, or data science, with at least 1 year focused on agentic AI development. - Hands-on experience with AI agent development frameworks (e.g., Google’s Agent Development Kit, OpenAI Agents SDK). - Knowledge of MCP and A2A protocols. - Strong proficiency in cloud environments (GCP preferred; AWS and Azure acceptable). - Expertise in Python, APIs, SQL, system design, DevOps/AIOps, and familiarity with JavaScript and frontend frameworks. - Experience in monitoring, troubleshooting, and optimizing deployed solutions. - Strong analytical and problem-solving skills. It’d be great if you also had: - Advanced degree in a relevant field. - Experience in advanced AI techniques, such as fine-tuning LLMs or developing custom AI algorithms. - Familiarity with logistics systems (e.g., WMS). - Experience with Snowflake and its ecosystem. - Hands-on experience with GCP Vertex AI Agent Builder. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.

Job Seekers can review the Job Applicant Privacy Policy by clicking here. Job Description: Summary This position supports the Ryder Continuous Improvement culture across the business by actively applying continuous improvement methods to support new and existing operations. The Lead Engineer will identify, lead and drive change within the operation through data driven CI, Engineering, and Automation efforts to deliver higher levels of performance in safety, quality, delivery, cost and growth. Effectively leverage data analytics, engineering methodologies, and all Ryder lean tools to enable root cause identification and elimination. This high influence position will interface with employees at all levels and functions across the operation. This position may manage CI resources and reports to the CI Manager/Sr. CI Manager and is closely aligned with a General Manager or Director of Operations. Essential Functions - Collects data and performs statistical analysis. Maps and documents processes. Independently identifies process gaps; recommends and implements process improvement. Develop a thorough, effective, and timely continuous improvement plan to drive value for our customers (transformation plan development and execution). Drive process improvement activities to achieve tangible improvement in the key business metrics of safety, quality, delivery, cost, and employee development - Manages and completes high impact CI projects across the operation that lead to improved business results. Assesses CI initiatives and provides input and recommendations on future activities. Support start-ups, retrofits and expansions including pricing inputs, go-live and steady state certifications. Identify and support Automation projects. Regularly interacts with account Management and/or customer(s). - Demonstrate a high level of competency in wide range of engineering methods, Lean tools, and quality standards and coaches employees in the use and implementation of CI, Quality Assurance, & Lean principles. Applies engineering methodologies/tools such as product slotting, studying labor standards (time studies), layouts and optimization of flow, data profiling and analysis, and resource modeling to improve distribution and/or transportation operations. - May supervise continuous improvement engineering and quality professionals. With guidance of manager participate in employment decisions (hire, coach) and manage performance. - Effective facilitation and execution Value Stream Maps & Kaizen Events through all stages (A3 charter ideation / creation, pre-work identification and completion, delivery of results in Kaizen week, regular follow up and follow through on sustainment). Coach process owners on how to use lean methods to achieve operational excellence - Provide regular reports of data and actions to measure progress against the site objectives. Makes Inventory and/or Supply Chain strategy recommendations Additional Responsibilities - Design, implement, monitor and maintain the QMS based on established company and/or industry standards. - Implement and monitor a standardized corrective action system. - Support regulatory compliance and certification requirements. - Perform all functions related to Quality Assurance for a start-up or expansion - Performs other duties as assigned Skills and Abilities - Microsoft Office Suite skills with emphasis on Access, Excel and PowerPoint & Visio expert required - Data visualization (PowerBI, Tableau) and database programming (SQL, DAX, etc.) intermediate preferred - Proficiency in developing and managing: Leader Standard Work, Visual Management Systems and Management Accountability Systems, Plan-Do-Check-Act (PDCA), Value Stream Mapping, Kaizen, 5S/Workplace Organization intermediate required - Understanding and experience in core engineering and data analysis functions (slotting, utilization, labor planning, layouts, metrics, etc.) advanced required - Warehouse design tools such as CAD (e.gAutoCAD); slotting (e.gSlot3D), Predetermined Motion and Time Systems and methods (e.gMOST); Warehouse Management Systems (e.gManhattan Scale), and Labor MgtSystems advanced preferred - Knowledge of Warehouse Management operations, data analytics, Industrial Engineering, warehouse types (ambient, temp control), warehouse layout/ design and Lean methods - Knowledge of material handling solutions and automation types such as: powered industrial truck (PIT) applications; racking and other storage solution designs, packaging equipment; conveyor and sortation equipment; and other automation solutions (e.gAS/RS)advanced preferred - Knowledge of Dedicated Services and Managed Transportation Networks - Knowledge of all available equipment types such as; dry van, temperature control, flat bed, other specialized equipment - Transportation Design Tools ie; JDA, Appian, Network Design Tools ie; Llamasoft, Transportation Management Systems ie; JDA, OTM, , Mapping Software ie; Tableau advanced preferred Qualifications - Bachelor’s degree (Engineering, Business, Supply Chain) and seven (7) years or more related work experience in the Warehousing, Transportation, or Manufacturing industry required; or Master’s degree (Industrial Engineering, Business Administration, or Supply Chain Management) and five (5) year related experience; if MBA, then undergraduate degree in Engineering. - Microsoft Office Suite skills with emphasis on Access, Excel and PowerPoint & Visio. expert required - Data visualization (PowerBI, Tableau) and database programming (SQL, DAX, etc.) intermediate preferred - Proficiency in developing and managing: Leader Standard Work, Visual Management Systems and Management Accountability Systems, Plan-Do-Check-Act (PDCA), Value Stream Mapping, Kaizen, 5S/Workplace Organization intermediate required - Understanding and experience in core engineering and data analysis functions (slotting, utilization, labor planning, layouts, metrics, etc.) advanced required - Warehouse design tools such as CAD (e.g. AutoCAD); slotting (e.g. Slot3D), Predetermined Motion and Time Systems and methods (e.g. MOST); Warehouse Management Systems (e.g. Manhattan Scale), and Labor Mgt. Systems. advanced preferred - Knowledge of Warehouse Management operations, data analytics, Industrial Engineering, warehouse types (ambient, temp control), warehouse layout/ design and Lean methods. Knowledge of material handling solutions and automation types such as: powered industrial truck (PIT) applications; racking and other storage solution designs, packaging equipment; conveyor and sortation equipment; and other automation solutions (e.g. AS/RS). advanced preferred - Knowledge of Dedicated Services and Managed Transportation Networks. Knowledge of all available equipment types such as; dry van, temperature control, flat bed, other specialized equipment. Transportation Design Tools ie; JDA, Appian, Network Design Tools ie; Llamasoft, Transportation Management Systems ie; JDA, OTM, , Mapping Software ie; Tableau. advanced preferred - Lean Six Sigma, required - cPMP, ISO/QMS, preferred - American Production Inventory Control Society (APICS) and/or Supply Chain Logistics Certification, preferred Travel DOT Regulated None Job Category Continuous Improvement Compensation Information: The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below: Pay Type: Salaried Minimum Pay Range: 100000 Maximum Pay Range: 115000 Benefits Information: For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan. Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Important Note: Some positions require additional screening that may include employment and education verification; motor vehicle records check and a road test; and/or badging or background requirements of the customer to which you are assigned. Security Notice for Applicants: Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers. Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754. Current Employees: If you are a current employee at Ryder, please click here to log in to Workday to apply using the internal application process. Job Seekers can review the Job Applicant Privacy Policy by clicking here.

• Lead, mentor, and grow a team of talented Frontend/Full Stack and Backend engineers, fostering a culture of technical excellence and high code quality. • Serve as a Full Stack tech-leader (often hands-on), contributing to the design and development of key architectures and full stack solutions that support various platforms (Web, Mobile, CTV). • Define and execute the team's charter, focusing on end-to-end customer interactions and the reliable display of ads globally. • Develop and oversee state-of-the-art observability systems for the Ad Display platform, tracking crucial metrics like reliability, viewability, latency, and providing deep debugging insights for ad creation teams. • Provide governance for cross-team ad rollout, including defining best practices and tooling for rigorous testing and deployment strategies (A/B testing, Canary deployments). • Lead complex technical projects at massive scale, ensuring our solutions can handle millions of requests and maintain high performance worldwide. • Collaborate intensely with a Staff Frontend Engineer, stakeholders from Ads layouts creation teams (designers, graphic specialists), and the core Bidding Platform backend teams.