Company Overview Voted #1 EHR by PC Mag, 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. Job Purpose and Role 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. Key Responsibilities: - 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 framework 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. Location: Remote Hours: Available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST) This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department. WRS Health is an equal opportunity employer.

Company Overview Voted #1 EHR by PC Mag, 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. Job Purpose and Role 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. Key Responsibilities: - 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 framework 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. Location: Remote Hours: Available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST) This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department. WRS Health is an equal opportunity employer.

Role Description L'unité Rénovation et Bâtiment Durables (9 agents) gère la délégation locale de l'Anah. Elle instruit les demandes de subventions des propriétaires privés et les demandes de conventionnement. Elle participe à la gestion de l'immobilier de l'État, assure un programme de contrôles des constructions neuves dans la Marne et porte les politiques publiques auprès des acteurs du bâtiment. Le pôle ANAH est la délégation locale de l'Anah. Il est constitué de 4 agents. L'enjeu du pôle est de contribuer à la lutte contre la précarité énergétique des propriétaires à revenus modestes et des locataires du privé, à la lutte contre l'habitat indigne, au maintien à domicile des personnes handicapées et vieillissantes. A ce titre en tant qu'instructeur, vous serez chargé de : - L'instruction des dossiers de demande de subvention pour des travaux d'amélioration de l'habitat, dans le respect de la réglementation Anah (propriétaires occupants, bailleurs et copropriétés) - Le traitement des demandes de conventionnement avec ou sans travaux de logements du parc privé - Le contrôle sur place de la conformité de la réalisation des projets avec la réglementation. - Le traitement des demandes téléphoniques et par courrier électronique dans le cadre du guichet unique France Rénov' - L'accompagnement des équipes d'instructeurs du délégataire des aides à la pierre de type 3 (Grand Reims) Qualifications - Catégorie B (administratif ou technique) - Capacité à répondre aux différentes sollicitations des particuliers dans le cadre des financements Anah - Connaissance en matière de politique du logement ou capacité à les acquérir rapidement - Formations prises de poste assurées Requirements - Être au sein d'une équipe d'instructeurs de 3 personnes - Travailler sous l'autorité de la cheffe de pôle et de la cheffe d'unité Elements de candidature - Documents à transmettre : CV et lettre de motivation obligatoires - Personnes à contacter : helene.burette@marne.gouv.fr, david.delaisse@marne.gouv.fr

At Network Solutions, we’ve been trusted for decades to help people get online and stay ahead. We’ve been here since the beginning of the internet, and we’re still building for what comes next. As the original digital identity authority, we help secure domain names, protect brands, and safeguard the infrastructure businesses rely on. We empower our customers to own and manage the assets that define them online, while delivering enterprise-grade security to protect against virtual threats. Our team leverages modern, AI-accelerated tools to streamline how businesses manage their digital presence, making the most of our decades of experience. The Network Solutions team is here to help online businesses protect what’s theirs and build for tomorrow. That’s why millions trust us to protect their domains, brands, and websites every day.Senior AI Back-End Engineer What you’ll do & how you’ll make your mark  - Design & scale async REST/WebSocket APIs with Python 3.11+ + FastAPI, using dependency-injection, type hints, and clean vertical-slice architecture. - Implement multi-agent workflows with Semantic Kernel (handoff, sequential, concurrent) to route traffic among specialised LLM agents. - Integrate LLM providers (OpenAI GPT-4.1/mini, Google Gemini 2.5 Flash) behind a provider-agnostic layer for A/B and cost-aware routing. - Deliver Retrieval-Augmented Generation with vector stores such as Azure AI Search, pgvector, or Chroma. - Expose tool-using agents via OpenAI Assistants (Code-Interpreter) for data-analysis / file-manipulation tasks. - Evolve schemas with SQLModel / SQLAlchemy 2 & Alembic; tune Postgres for high-concurrency async access. - Maintain robust CI/CD (Bitbucket Jenkins) that lint, type-check, test, package (Docker), and deploy. - Instrument services with structlog JSON logs, OpenTelemetry traces, and cost/latency metrics; hold p95 < 100 ms. - Champion AI-assisted development (GitHub Copilot, Cursor) and share pragmatic problem-solving practices with the team. Who you are & what you’ll need to succeed.  - 5 + yrs building production APIs in Python; 2 + yrs with FastAPI (or similar async stack). - Deep knowledge of async I/O, Pydantic v2, DI, and observability. - Hands-on with Semantic Kernel or comparable agent frameworks. - Practical RAG implementations using Azure AI Search, pgvector, or Chroma. - Strong Postgres skills, including SQLModel/SQLAlchemy 2 and Alembic migrations. - Proven integrations or Side Projects with LLM APIs (OpenAI, Gemini) and structured-output design. - Dependency management via Poetry and virtual-env isolation. - End-to-end CI/CD ownership (build → scan → test → deploy). - Excellent analytical and problem-solving ability. - Remote work readiness with daily overlap of at least 09:00 – 13:00 EST. Nice to have - Event/message queues (RabbitMQ, Azure Service Bus, Kafka). - Observability stacks (Grafana, LangFuse) for LLM cost governance. Join us to build the agent-powered backbone of our AI platform—robust, model-agnostic, and ready for millions of users. Why you’ll love us.  - Work-life balance. Our work is thrilling and meaningful, but we know balance is key to living well.  - We celebrate one another’s differences.  We’re proud of our culture of diversity and inclusion. We foster a culture of belonging. Our company and customers benefit when employees bring their authentic selves to work. We have programs that bring us together on important issues and provide learning and development opportunities for all employees.  We have 20 + affinity groups where you can network and connect with Newfolders globally.  - We care about you. We are a family, and we care about you and your family’s physical and mental health by providing competitive HMO benefits – 175k MBL with one free dependent upon one year of service! We also give out Punctuality Bonus, Generous Vacation policy, and much more!  - Where can we take you? We’re fans of helping our employees learn different aspects of the business, be challenged with new tasks, be mentored, and grow their careers. Unfold new possibilities with #teamnewfold!  The target compensation range for this position is $130,000 to $150,000 annually. Individual salaries are determined by various factors including, but not limited to: candidate’s qualifications, such as skills, education, and experience, as well as internal equity and market conditions. #NetworkSolutions Employment with Newfold Digital is at-will and nothing in this Job Description should be interpreted or construed to alter the at-will employment relationship. This Job Description includes the essential job functions required to perform the job described above, as well as additional duties and responsibilities. This Job Description is not an exhaustive list of all functions that the employee performing this job may be required to perform. The Company reserves the right to revise the Job Description at any time, and to require the employee to perform functions in addition to those listed above.