10 дней назад
Junior/Mid Full Stack Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Junior/Mid Full Stack Software Engineer (AI): Building and operating production-ready knowledge-first applications that turn fragmented scientific and enterprise data into structured, reusable knowledge assets with an accent on React and Next.js interfaces, Python services, GraphQL APIs, and deployment environments. Focus on integrating data sources, implementing application security, containerizing services with Docker, and improving reliability through automated testing and monitoring.
Location: Remote-first, with a preference for U.S.-based candidates working East Coast hours; NIH-Bethesda
Company
is supporting Knowledge3 in building knowledge-first systems for scientific and enterprise data.
What you will do
- Build and maintain web interfaces with React, Next.js, JavaScript, and TypeScript.
- Implement, debug, and improve Python backend services, including GraphQL APIs and REST endpoints.
- Integrate local files, SQLite, and S3-compatible storage and data sources.
- Implement application-level security features and automated tests.
- Deploy and operate applications across environments using Docker and Docker Compose.
- Configure environments, logging, TLS, monitoring, and collaboration across repositories and services.
Requirements
- 1–4 years of experience or equivalent.
- Strong Python experience and experience with React or Next.js.
- Experience with APIs, including GraphQL or REST.
- Experience with Docker and familiarity with Linux environments and debugging.
- Experience with authentication and automated testing.
- Willingness to work across the full stack.
Nice to have
- AWS experience.
- Knowledge graph familiarity.
- Experience with graph databases.
- Exposure to deployment tooling.
Culture & Benefits
- Remote-first work environment.
- Primarily asynchronous work with periodic team coordination.
- Technology-focused organization supporting explainable reasoning, governed analytics, and trustworthy AI.
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