AI Workflow Engineer and Developer

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🕒 il y a 9 mois

🚗 Michigan – Distant

🚗 Michigan – Remote

⏳ Contrat

🟡 Intermédiaire

🟠 Senior

🖥 Ingénieur Logiciel

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UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT)

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11 - 50 employés

Fondée en 2023

⚕️ Assurance santé

📚 Éducation

🤖 Intelligence artificielle

Healthcare Insurance • Education • Artificial Intelligence

La Division d'Informatique Clinique et de Transformation Digitale (DoC-IT) de l'UCSF est le centre académique pour les chercheurs en informatique clinique appliquée au sein du Département de Médecine de l'UCSF. La division coordonne avec divers acteurs digitaux internes et externes pour promouvoir la recherche, soutenir le développement de carrière et faire avancer la diversité, l'équité et l'inclusion (DEI). Elle sert de principal foyer pour l'éducation et la formation en informatique clinique et collabore avec le système de santé UCSF et des acteurs de l'industrie pour avoir un impact réel dans le domaine de la santé.

Description

• Build automation workflows using n8n.io and Python as the primary platform • Integrate APIs, databases, and AI services to create functional, scalable automation pipelines • Work with tools like ChatGPT, Gemini, and GitHub Copilot to build agents, streamline development, and generate value from LLMs • Write and test prompts that enable AI to complete meaningful tasks—text classification, summarization, chatbot functionality, and more • Build task-specific AI agents or multi-step assistants powered by APIs and large language models • Combine frontend/backend logic with AI decision-making to produce efficient microservices or tools • Take abstract product ideas and build working MVPs quickly, with clarity and minimal oversight • Partner with engineering leads and other Augusto team members to deliver meaningful, production-ready solutions • Explain technical designs and limitations clearly to both technical and non-technical stakeholders

🎯 Exigences

• Proficiency with ChatGPT, Claude, Gemini, and GitHub Copilot • Solid understanding of LLM behavior and prompt construction for a variety of tasks • Hands-on experience with n8n (preferred) or similar platforms like Airia.ai, Make, or Zapier • Familiarity with JavaScript, Python, or TypeScript • Ability to integrate APIs, handle webhooks, and extend automation logic where needed • Independent, self-managed, and comfortable owning deliverables in a fast-paced environment • Experience building automations in n8n or equivalent • Experience with prompt-based tools or agents • Experience building AI-enhanced applications or tools, or workflows

🏖️ Avantages

• Impactful Work: Contribute to projects that make a significant impact on healthcare and other industries. • Professional Growth: Opportunities for continuous learning and development in a dynamic and supportive environment. • Collaborative Culture: Work with a team of skilled professionals who are passionate about delivering value and driving growth. • Innovation: Be part of a company that values innovation and encourages new ideas and approaches.