QVine, an SAIC company, is seeking an experienced Full Stack Web Application Developer to join our team. This role involves hands-on technical expertise in building modern, scalable web applications with a focus on AI-driven features. The ideal candidate combines strong front-end development skills in ReactJS with robust Python backend experience, including the design and integration of LLM-powered applications using LangChain, LangGraph, and LangSmith. Key Responsibilities: • Front-End Development: Design, build, and maintain responsive, user-friendly web interfaces using ReactJS, including state management, component architecture, and integration with RESTful and streaming APIs. • Python Backend Development: Develop and maintain scalable backend services in Python, exposing clean APIs to support front-end and AI-driven functionality. • LLM Application Engineering: Design, implement, and optimize AI-powered features using LangChain and LangGraph, including building conversational agents, retrieval-augmented generation (RAG) pipelines, and multi-step agentic workflows. • API Design & Integration: Build and maintain well-documented APIs that connect front-end applications with backend services and third-party LLM providers. • CI/CD & Deployment: Contribute to continuous integration and continuous delivery pipelines to streamline code deployment, testing, and release cycles for web applications. • Cloud Deployment: Deploy and maintain web applications and backend services in cloud environments (AWS and/or Azure), ensuring high availability, security, and cost efficiency. • Security & Compliance: Collaborate with the cybersecurity team to embed best practices into the development lifecycle, including secrets management, secure API design, vulnerability scanning, and compliance automation. • Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience ; PhD or JD and four (4) years or more experience. • Active Top Secret clearance. • Proven experience building production web applications with ReactJS and modern JavaScript/TypeScript. • Strong proficiency in Python, with experience developing backend services and APIs (e.g., FastAPI, Flask, or Django). • Hands-on experience with LangChain, LangGraph, and LangSmith, or comparable LLM orchestration and observability frameworks. • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) architectures. • Experience with CI/CD pipelines and cloud deployment on AWS or Azure. • Understanding of secure development practices and compliance requirements.