Role Description La cellule Application du droit des sols de la direction départementale du territoire instruit les demandes d'autorisations d'urbanisme relevant de la compétence de l'État ainsi que les demandes déposées dans les communes bénéficiant de la mise à disposition à titre gratuit des services de l'État. En tout, la cellule instruit les demandes pour le compte de près de 300 communes sur le département. En tant qu'instructeur-trice, vous aurez en charge : - l'instruction des demandes d'autorisation d'urbanisme (permis de construire, déclaration de travaux, permis d'aménager, certificat d'urbanisme...) - la rédaction des propositions de décision mise à la signature du maire ou du préfet - le conseil aux particuliers et aux élus en se rendant sur le terrain le cas échéant Vous serez au quotidien en lien avec : - les usagers et leurs maîtres d'oeuvre - les élus et leurs équipes - l'ensemble des services consultés à l'occasion de l'instruction des demandes : unité départementale de l'architecture et du patrimoine, Service départemental Incendie et Secours, syndicats et gestionnaires de réseaux, chambre d'agriculture, Agence Régionale de Santé Vous serez en outre conduit-e à apporter du conseil aux collectivités dans le choix et l'application des outils d'urbanisme opérationnel ainsi que leurs projets d'aménagement. Qualifications - le goût du travail en équipe et une appétence pour le contact animé par la volonté de transmettre et d'expliquer - de la rigueur dans les tâches que vous effectuez et n'hésitez pas à rechercher les sources documentaires et réglementaires - un excellent rapport humain, un fort sens du service au public et une volonté de chercher et trouver des solutions Requirements Vous serez conduit-e à combiner des enjeux parfois contradictoires et des diverses réglementations. Toutefois, l'ensemble des compétences techniques requises sur le poste pourront être acquises ou approfondies dans le cadre de l'offre de formation continue du ministère chargé de l'écologie. Elements de candidature Documents à transmettre : - Envoi du CV et d'une lettre de motivation est obligatoire Personnes à contacter : - benjamin.boulet@haute-saone.gouv.fr - sgc-rh-ddt@haute-saone.gouv.fr

• Design and deliver complex product epics at 3–5x the velocity of baseline engineering teams, ensuring high-quality functionality reaches customers faster without compromising system integrity. • Architect AI-assisted guardrails across the SDLC, including autonomous testing pipelines, AI-driven security reviews, and automated code quality agents that maintain stability while enabling rapid iteration. • Use AI tools to rapidly map dependencies and navigate unfamiliar parts of the hx codebase, safely delivering cross-domain improvements without relying on traditional code ownership boundaries. • Build and evolve AI-native development workflows, integrating best-in-class tooling across coding, testing, CI/CD, and deployment environments. • Translate successful strike team practices into documented patterns, reusable tooling, and “paved road” workflows that scale across the wider engineering organisation. • Partner with engineers and technical leaders to share knowledge, mentor teams, and accelerate adoption of AI-native engineering practices across hx.

• Design and deliver complex product epics at 3–5x the velocity of baseline engineering teams, ensuring high-quality functionality reaches customers faster without compromising system integrity. • Architect AI-assisted guardrails across the SDLC, including autonomous testing pipelines, AI-driven security reviews, and automated code quality agents that maintain stability while enabling rapid iteration. • Use AI tools to rapidly map dependencies and navigate unfamiliar parts of the hx codebase, safely delivering cross-domain improvements without relying on traditional code ownership boundaries. • Build and evolve AI-native development workflows, integrating best-in-class tooling across coding, testing, CI/CD, and deployment environments. • Translate successful strike team practices into documented patterns, reusable tooling, and “paved road” workflows that scale across the wider engineering organisation. • Partner with engineers and technical leaders to share knowledge, mentor teams, and accelerate adoption of AI-native engineering practices across hx.

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.