התפקיד במילים פשוטות
תפקיד זה כולל אחריות מלאה על פיתוח, ארכיטקטורה ואספקה של מוצר האנליטיקה Pulse, המבוסס על מודלי שפה (LLM) עבור ארגוני בריאות. ביום-יום, המהנדס יפתח תכונות חדשות, יבנה צינורות נתונים ותשתיות ענן ב-Python ו-AWS, ויטפל ביציבות המערכת.
- 4+ years as a Full Stack Engineer, building and maintaining production systems
- Production-grade experience with LLM application patterns: agents, orchestration frameworks, RAG
- Experience building with agentic coding tools daily
- Backend and data foundations, APIs, real-time and event-driven services, distributed data pipelines in Python with Spark or comparable frameworks
- AWS cloud deployment experience, including storage, compute (Serverless & k8s), data pipelines (Airflow/Glue/EMR), CDN, security & networking, CI/CD pipelines (GitHub Actions)
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למהנדסי Full Stack בעלי 4 שנות ניסיון לפחות, עם רקע מעשי בבניית יישומי AI (כגון סוכנים או RAG) ועבודה עם מערכות מבוזרות בענן. הוא פחות מתאים למי שחסר ניסיון בפיתוח מערכות AI ל-Production או עבודה מול צוותים בארה"ב.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןAbout Vi • Vi is an enterprise AI platform for health enterprises – healthcare, biopharma, and wellness. We deploy agentic AI and predictive models into production environments where the output drives next best actions for patients, care teams, and operations to deliver ROI and improve health outcomes. About the role • We are looking for an AI Full Stack Engineer to be the technical owner of Pulse, Vi's client-facing analytics product: an LLM-driven system that lets health enterprises query their data in natural language and get back answers, visualizations, and recommended actions. • You will carry full accountability and single ownership for the architecture, development, and delivery. Tackling roadmap, features development, and system stability.
Requirements: • 4+ years as a Full Stack Engineer, building and maintaining production systems. • AI Engineering capabilities, Production- grade experience with LLM application patterns: agents, orchestration frameworks, RAG. • Build with agentic coding tools daily, and own the output. • Strong backend and data foundations, APIs, real-time and event-driven services, and high-scale distributed data pipelines in Python with Spark or comparable frameworks. • Cloud Capabilities (AWS), you’ve deployed applications to production, used by real customers. Storage, compute (Serverless & k8s), data pipelines (Airflow/Glue/EMR), CDN, security & networking, CI/CD pipelines (GitHub Actions). Worked closely with Infrastructure/DevOps teams. • Exceptional learning velocity, you absorb new domains, tools, and model capabilities faster than the market moves. Being able to tell the difference between what makes true impact and AI slop. • Fluent English, working directly with US-based stakeholders, technical and commercial. What success looks like in the first 6 months • Taking responsibility for the code and system and getting to a rhythm of delivering features at a fast pace using AI. • Gaining a deep understanding of the system and strategy for the execution of future capabilities.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- 4+ years as a Full Stack Engineer, building and maintaining production systems, Production-grade experience with LLM application patterns: agents, orchestration frameworks, RAG, Experience building with agentic coding tools daily, Backend and data foundations, APIs, real-time and event-driven services, distributed data pipelines in Python with Spark or comparable frameworks, AWS cloud deployment experience, including storage, compute (Serverless & k8s), data pipelines (Airflow/Glue/EMR), CDN, security & networking, CI/CD pipelines (GitHub Actions)