
1001 - 5000 employees
Founded 2013
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Series A on 2019-12
Consulting • Healthcare • Logistics
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.
🕒 June 19
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
GraphQL
GRPC
JavaScript
Kafka
Kubernetes
Microservices
Next.js
Node.js
Postgres
Python
React
Redis
TypeScript
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1001 - 5000 employees
Founded 2013
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 Series A on 2019-12
Consulting • Healthcare • Logistics
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 • Other Qualifications (OQs): • Experience with: LlamaIndex, advanced LangGraph workflows, or multi-agent orchestration • Prompt engineering and context engineering • Model Context Protocol (MCP) or agent interoperability frameworks • Exposure to GraphQL, gRPC, and advanced API design patterns • Experience with event-driven systems (Kafka, Pub/Sub, Redis) • Knowledge of vector databases (pgvector, Pinecone, Milvus) • Experience building real-time/streaming UIs (WebSockets, SSE) • Understanding of OAuth 2.0, OIDC, RBAC for secure systems • Strong testing practices (TDD, Playwright, contract testing) • Experience with OpenTelemetry or similar observability tooling • Familiarity with Domain-Driven Design (DDD) and API-first architecture • Healthcare Domain Experience (Nice to Have): • Experience working with FHIR R4, HL7 v2, or SMART on FHIR • Integration with EHR systems (e.g., Epic) • Understanding of HIPAA compliance and healthcare data privacy • Exposure to clinical workflows, CDS Hooks, or patient-facing applications • Experience building clinical decision support systems or healthcare interoperability solutions.
• Make an impact at one of the world’s fastest-growing AI-first digital engineering companies. • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues. • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines. • Stay ahead of the curve immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. • Ample opportunities to learn, grow and interact with colleagues from varied experience and backgrounds around the globe.
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