AI Systems Administrator

AI Developer (Features + CHQ) Tempe, AZ - Onsite Summary This role focuses on building intelligent user-facing capabilities and enterprise productivity features for the CHQ (Corporate HQ) platform, enabling corporate teams to streamline workflows, improve operational efficiency, and enhance employee support experiences through AI-driven interactions and automation. The AI Developer will work closely with product, platform, frontend, backend, and AI engineering teams to develop scalable AI-enabled features, integrate enterprise systems, and deliver seamless user experiences across web and desktop applications. The ideal candidate should have strong experience in application development, AI integrations, API consumption, and enterprise workflow enablement. Responsibilities Design, develop, and enhance AI-powered features for the CHQ platform and Tulip AI ecosystem. Build user-centric workflows, productivity tools, and intelligent automation capabilities for corporate users. Integrate frontend applications with backend APIs, AI services, and enterprise systems. Develop AI-assisted user experiences including conversational workflows, recommendations, and intelligent task support. Work with Generative AI services, LLM APIs, semantic search, and workflow orchestration platforms. Collaborate with backend and platform teams to integrate APIs, authentication, and enterprise data sources. Implement scalable, reusable, and maintainable application components and feature modules. Support enterprise workflow automation and operational productivity initiatives. Ensure application responsiveness, usability, performance, and reliability. Participate in Agile development processes including sprint planning, feature estimation, and technical discussions. Write clean, testable, and maintainable code following engineering best practices. Support debugging, monitoring, testing, and production issue resolution activities. Qualifications Need to Have 4+ years of experience in application development or feature engineering. Strong experience in frontend or full-stack application development. Experience integrating AI services, LLM APIs, or Generative AI-powered features. Strong understanding of REST APIs, frontend-backend integration, and asynchronous workflows. Experience working with modern frontend frameworks such as React, Angular, or similar technologies. Familiarity with enterprise application architecture and workflow-based platforms. Knowledge of authentication, authorization, and secure application development practices. Experience with Agile development methodologies and Git-based workflows. Strong problem-solving, debugging, and communication skills. Good to Have Experience with enterprise productivity platforms or internal business applications. Exposure to conversational AI, workflow automation, or AI assistant platforms. Familiarity with Python, FastAPI, or backend service integrations. Experience with semantic search, RAG architectures, or vector databases. Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience in QSR, retail, hospitality, or large-scale enterprise environments. Knowledge of analytics, monitoring, and observability tools. Experience collaborating in co-development or distributed engineering models. For applications and inquiries, contact: View email address on click.appcast.io #J-18808-Ljbffr