
1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
📚 Education
💰 Series A on 2019-12
Artificial Intelligence • Enterprise • Education
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
🕒 April 14
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
JavaScript
Kafka
Kubernetes
Microservices
Next.js
Node.js
Postgres
Python
React
TypeScript
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1001 - 5000 employees
Founded 2013
🤖 Artificial Intelligence
🏢 Enterprise
📚 Education
💰 Series A on 2019-12
Artificial Intelligence • Enterprise • Education
Quantiphi is a leading AI-first digital engineering company that leverages a decade of industry expertise to empower businesses through scalable, secure, and adaptable AI solutions. By integrating cutting-edge technology with real-world applications, Quantiphi transforms organizations across various sectors including healthcare, finance, education, and retail. Their services span AI applications, data analytics, cloud infrastructure modernization, and custom AI implementations. Quantiphi partners with technology giants like AWS, Google Cloud, NVIDIA, and others to drive AI adoption and deliver transformational opportunities for enterprises.
• Design and build scalable full stack applications using React, TypeScript, and Next.js on the frontend and Python (FastAPI) and/or Node.js on the backend • Architect and maintain RESTful APIs and microservices with strong versioning, backward compatibility, and API-first design principles • Develop distributed systems leveraging event-driven architectures, messaging systems (Kafka, Pub/Sub), and asynchronous processing • Build and integrate LLM-powered applications, including RAG pipelines, agentic workflows, and tool-calling frameworks (LangChain, LangGraph) • Collaborate with AI/ML teams to integrate model serving platforms and orchestrate multi-agent systems • Implement real-time capabilities using WebSockets, Server-Sent Events (SSE), or streaming frameworks • Ensure high-quality engineering standards across testing (TDD/BDD), CI/CD pipelines, and infrastructure-as-code • Deploy and manage cloud-native applications on GCP and/or Azure, leveraging Docker and Kubernetes • Champion observability and monitoring using logging, metrics, and tracing (e.g., OpenTelemetry) • Build developer-friendly tools including SDKs, documentation, and API portals • Mentor engineers and contribute to system design, architecture reviews, and best practices
• 5–10 years of experience in full stack software development • Strong expertise in: Frontend: React, TypeScript, Next.js Backend: Python (FastAPI) and/or Node.js • Proven experience building REST APIs, microservices, and distributed systems • Hands-on experience with PostgreSQL and data modeling • Experience with Docker, Kubernetes, and cloud platforms (GCP and/or Azure) • Strong knowledge of CI/CD pipelines (GitHub Actions or similar) • Experience with API lifecycle management (authentication, versioning, rate limiting) • Solid understanding of system design, scalability, and performance optimization • Experience integrating or building applications with LLMs, RAG, or Agentic AI systems • Familiarity with LangChain, LangGraph, or similar frameworks
• Upskill and discover your potential • Work where innovation happens • Opportunities to learn, grow and interact with colleagues
Apply Now🕒 April 14
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🇨🇦 Canada – Remote
💵 $120k - $195k / year
💰 $2.6M Post-IPO Debt on 2015-05
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer