Company Overview:
Aust Capital Ventures, LLC is pioneering the next generation of multi-dimensional technology ecosystems. We are actively developing the AUSI Minimum Viable Product (MVP), a groundbreaking infrastructure system that seamlessly integrates Artificial Intelligence, Machine Learning, Virtual Reality, the Internet-of-Things (IoT), and Blockchain. Inspired directly by the human neurological ecosystem, AUSI orchestrates specialized data streams across interconnected modules to optimize operational efficiency and deliver tangible and intangible support resources to our stakeholders.
Role Summary:
We are seeking a visionary Lead AI Infrastructure & Systems Architect to build, integrate, and deploy the core technical framework of the AUSI ecosystem. In this role, you will be responsible for translating our Project Charter into a functional MVP. You will design and code the systems that connect the three foundational components of the AUSI neurological infrastructure: the AI Mind, the AI Heart, and the AI Gut. This role sits at the intersection of complex multi-agent orchestration, hardware/software connectivity, enterprise-grade data validation, and strict regulatory-driven ethical engineering.
Core Responsibilities:
- Neurological System Implementation: Program the core communication pathways (neurons/neurotransmitters) that route information seamlessly between the Mind, Heart, and Gut ecosystems.
- Engine the AI Mind: Build ingestion pipelines and validation layers for massive datasets, including academic journals, textbook publishers, Library of Congress files, legal codes, and jurisprudential data.
- Engine the AI Heart: Contextualize data outputs against universal human values, moral/ethical behaviors, and emotional, social, and cultural audio/voice support ecosystems.
- Engine the AI Gut: Develop data-driven telemetry layers integrating live ML models, VR environments, blockchain logs, and comprehensive IoT network connections.
- Build the No-Code Sandbox: Architect an isolated, high-connectivity sandbox environment utilizing APIs, Wi-Fi, Cellular (4G/5G), Bluetooth, LPWAN (LoRaWAN), Zigbee, Satellite, and Fiber-optics to automate CAD layouts, video/audio rendering studios, and scientific lab telemetry.
- Agent Integration & Prompt Engineering: Configure external connectors and internal prompting systems to deploy specialized AI Agent Teams modeled after top-tier professional certifications (e.g., PMP, CFA, CPA, CISA, CompTIA) (pp. 1, 4-5).
- Platform Migration Support: Devise strategies to create user preference for the proprietary AUSI AI platform over traditional GitHub platforms.
Regulatory Boundaries & Grant-Compliance Guardrails:
A primary, non-negotiable pillar of this role is engineering the system's operational boundaries. These boundaries are mandatory to satisfy legal frameworks, fulfill governmental regulations, and secure and maintain crucial institutional funding and grants. You will design and implement:
- Grant & Regulatory Compliance Locking: Hardcode architectural constraints that satisfy data sovereignty, security, and algorithmic accountability mandates required to guarantee grant compliance and maintain ecosystem eligibility.
- Closed-Domain Boundaries: Architect strict Retrieval-Augmented Generation (RAG) guardrails ensuring the AI operates purely as a closed system. The ecosystem must explicitly reject external generic queries or unauthenticated data sources to completely prevent hallucinations and intellectual property drift.
- Semantic Guardrails & Filtering: Build deterministic semantic filters and restriction logic that actively block the system from discussing off-brand, unverified, out-of-scope, or highly sensitive topics that could jeopardize regulatory standup.
- Source Authentication & Traceability: Implement robust data verification and lineage protocols to guarantee that processing across the AI Mind relies strictly on authorized legal, academic, and administrative source materials, leaving an auditable paper trail.
- Ethical Behavioral Alignment: Code systemic boundaries into the AI Heart that evaluate context and enforce universal human values, ensuring 100% compliance with moral, ethical, and stakeholder-aligned funding parameters.
Required Technical Skills & Qualifications:
- Languages & Frameworks: Elite proficiency in Python, C++, Go, or Rust for low-latency network orchestration.
- AI & Agent Orchestration: Extensive experience with LLM frameworks (LangChain, LlamaIndex), RAG architectures, and complex multi-agent validation loops.
- Compliance & Guardrail Engineering: Proven track rate implementing deterministic safety frameworks, semantic classification guardrails, and automated input/output filtering (e.g., NeMo Guardrails, LlamaGuard, or custom policy engines).
- System Boundaries & Auditing: Practical understanding of programming boundaries, input/output constraints, and data-logging to build a system ready for external regulatory oversight.
- IoT & Connectivity Protocols: Practical experience routing data across cellular hardware, Bluetooth, LoRaWAN, Zigbee, and real-time streaming APIs.
- Web3 & Systems Security: Experience deploying blockchain-backed verification mechanisms, internal control systems, and data auditing protocols.
Project Scope & Deliverables:
- Immediate Focus: Delivery of the standalone, fully compliant, and regulatory-locked AUSI MVP package.
- Key Milestones: Moving rapidly from the initial Design Phase into complete Implementation, system integration, and final platform closure/handover.
- Reporting Structure: You will collaborate directly with our Subject Matter Experts (SMEs) and report directly to the Project Manager and Project Sponsor, Dr. David F. Aust I.
Pay: $160,000.00 - $220,000.00 per year
Benefits:
Work Location: Remote
