Quantiphi

Full Stack Developer

Quantiphi$90K — $130K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5–10 years of full stack software development experience
  • Proficient in React, TypeScript, and Next.js for frontend
  • Skilled in Python (FastAPI) and/or Node.js for backend
  • Experience building REST APIs, microservices, and distributed systems
  • Hands-on experience with PostgreSQL and data modeling
  • Familiar with Docker, Kubernetes, GCP and/or Azure
  • Strong knowledge of CI/CD pipelines and API lifecycle management

Responsibilities

  • Design and build scalable full stack applications using modern tech stacks
  • Architect and maintain RESTful APIs with strong versioning and compatibility
  • Develop distributed systems using event-driven architectures and messaging systems
  • Build and integrate LLM-powered applications, including innovative workflows
  • Collaborate with AI/ML teams to integrate model serving and multi-agent systems
  • Implement real-time capabilities in applications using WebSockets and streaming frameworks
  • Ensure high-quality engineering standards with CI/CD, testing, and infrastructure-as-code

Benefits

  • Remote work flexibility in the US East/Canada
  • Opportunity for hands-on engineering ownership
  • Collaboration with leading AI/ML teams
  • Access to cutting-edge technologies in Agentic AI
  • Mentorship opportunities for professional growth
  • Inclusive and innovative company environment
Full Job Description

Role:Full Stack Software Developer

Experience Level:5-10 yrs

Work Location:US East/Canada (Remote)

Role Overview:

We’re looking for a Full Stack Software Developer to design and build scalable, high-performance applications powering next-generation Agentic AI platforms.

In this role, you’ll lead the development of API-first, distributed systems and contribute across the stack from backend microservices to modern frontend experiences. You’ll partner closely with AI/ML teams to integrate LLM-driven workflows, RAG architectures, and multi-agent systems into production-grade applications.

This is a hands-on engineering role with strong ownership across architecture, developer experience, and system reliability.

Key Responsibilities:

  • 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

Basic Qualifications:

  • 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

About Quantiphi

Quantiphi is an artificial intelligence and machine learning services company that helps businesses transform their operations through the use of AI. The company provides a range of services, including data engineering, machine learning, computer vision, natural language processing, and predictive analytics. Quantiphi was founded in 2013 and is headquartered in King of Prussia, Pennsylvania.
Learn more about Quantiphi
Size
500 employees
Industry
Founded
2013

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