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Full Stack Developer
QuantiphiFull Stack Developer designing and building scalable, high-performance applications for next-generation AI platforms at Quantiphi. Collaborating closely with AI/ML teams to integrate advanced workflows.
Tech Stack
Tools & technologiesAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGraphQLGRPCJavaScriptKafkaKubernetesMicroservicesNext.jsNode.jsPostgresPythonReactRedisTypeScript
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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.
ATS Keywords
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Hard Skills & Tools
ReactTypeScriptNext.jsPythonFastAPINode.jsREST APIsmicroservicesDockerKubernetes
Soft Skills
mentoringcollaborationsystem designarchitecture reviewsbest practices