Senior Software Engineer

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with: 17x Google Cloud Partner of the Year awards in the last 8 years. 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Role: Full Stack Software Developer Experience Level: 5-10 yrs 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 What’s in it for YOU at Quantiphi: 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. #J-18808-Ljbffr