AI Semantic Architect OR Hardware Robotics Engineer (Individual Specialists or Duo Welcomed)
We are executing a highly focused 4-to-6-week development sprint to build a fully localized, zero-contradiction AI architecture (Semantic Backend) and bridge it directly into a physical bipedal robotics chassis (Hardware Bridge) utilizing the Unitree G1 or a comparable android/humanoid robot. We require two distinct technical focuses for this project. You may apply as an individual specialist for Role 1 OR Role 2, or you may apply as a pre-existing engineering duo. If hired as a solo specialist, you must be highly comfortable collaborating and sharing API documentation with an external counterpart to ensure seamless cyber-physical integration. This system completely bypasses the limitations of standard cloud AI by utilizing an air-gapped semantic vector database, strict hardware preemptions, and a unique Guardrailed Response Protocol. The AI is mathematically forbidden from hallucinating or argumentative looping; if it encounters an incomplete data variable, it must execute a strict safety halt. Role 1: AI / Semantic Systems Architect & App Ecosystem Developer (Backend) Tech Stack & Skills: Python, React Native / Flutter (for cross-platform mobile app development), iOS/Android ecosystem deployment, API Architecture, ChromaDB (Semantic Vector Databases), Localized LLM deployment (SLMs). Core Objectives: Design and deploy the complete digital app ecosystem (the presentation layer) that securely interfaces with the localized backend, ensuring a seamless, consumer-ready mobile/desktop experience. Build the localized ChromaDB environment and an Asynchronous Data Buffer loop for offline fact-verification. Code the Strict Fallback Logic gates and Dynamic Prompt Formatting to ensure respectful user interaction without compromising the core knowledge environment. Role 2: Robotics & Hardware Integration Engineer (Hardware Bridge) Tech Stack: C++, ROS (Robot Operating System), FPGA (silicon logic), Nvidia Isaac Sim (or Gazebo). Core Objectives: Build the secure hardware bridge to the physical Unitree G1 (or comparable android/humanoid robot) chassis. Translate the AI’s semantic decisions into physical motor torque and Low-Latency Hardware Preemptions (e.g., zeroing torque if a spatial boundary is breached). Utilize Digital Twin simulation to rigorously calibrate balance, latency, and hardware preemptions prior to physical deployment. Program Dynamic User Role Authorization (dynamic organic enrollment for recognizing user hierarchy and filtering crowd noise). Project Milestones & Deliverables (6-Week Timeline): Core Logic: Localized ChromaDB environment and reality-grounding gates functioning offline. Digital Ecosystem: Fully operational mobile/desktop app ecosystem (UI/UX and backend integration). Physical Integration: Code deployed and simulated via Digital Twin, ready for physical hardware. Security & Legal: Complete handover of all source code under a strict IP Assignment Agreement. Mandatory Security Requirements: All developers must sign an NDA and a full IP Assignment Agreement (Work-for-Hire). We retain 100% ownership of the proprietary architecture. Deployment Security Clause: All production compilation must strictly prohibit sourcemaps (sourcemap: "none"). The digital app and hardware bridges must remain completely air-gapped from the backend logic.