Full Stack Developer AI

Role Overview: As a Full-Stack AI Engineer at our company, you will have the opportunity to design and build enterprise-level web applications using cutting-edge technologies. You will play a key role in developing secure and scalable backend architectures, integrating AI models into production workflows, and collaborating with cross-functional teams to deliver innovative features end-to-end. This role requires a high level of technical expertise and a passion for building AI-powered business applications. Key Responsibilities: - Design and build enterprise-level web applications using React, Node.js/FastAPI, and PostgreSQL - Develop secure, scalable backend architectures supporting microservices, event-driven systems, and high availability - Integrate LLMs (OpenAI, Gemini, Claude) into production workflows, tools, and enterprise systems - Build RAG pipelines, vector databases, search engines, and high-volume ingestion pipelines - Create multi-tenant platforms, RBAC systems, and secure API layers - Work with enterprise data sources such as Drive, Slack, CRMs, and internal APIs to build ETL/ELT pipelines - Deploy applications using Docker and modern cloud infrastructure (GCP, AWS, Render, Fly.io, Vercel) - Lead technical decisions, contribute to system architecture, and collaborate with product, design, and AI/ML teams Qualifications Required: - Strong experience in full-stack development, with a focus on frontend engineering using React and Next.js - Proficiency in building modern, modular UIs, writing TypeScript, and integrating with backend APIs - Expertise in backend engineering using Node.js, FastAPI, and designing clean, modular service architectures - Sound understanding of database management, particularly PostgreSQL, complex schema design, and data ingestion - Experience in enterprise AI and LLM engineering, including integrating AI systems into production environments and ensuring safe AI behavior - Knowledge of security and enterprise standards such as OAuth2, SSO, RBAC, secrets management, and secure API design - Soft skills including ownership mindset, architectural design capability, rapid learning, strong communication, and curiosity to innovate (Note: The job description does not contain any additional details of the company.),