AI/ML Engineer (LLM + Python) / Full-Stack Developer

We are pioneering cognitive-architecture and mental-health intelligence platform developed by a Washington D.C.–based strategic design and advanced-technology firm. Our early-stage MVP will integrate: LLM pipelines UI/UX patient + provider interfaces Guardrails Data models + cognitive mapping A research layer for subject-matter experts and institutions We are looking for one or two exceptional technologists to help build the first working prototype. The Role We seek a Lead AI/ML Engineer (with or without a UI/UX-focused partner) to architect and build the MVP. You will: Build and deploy LLM-based backend (Python) Set up core architecture, vector DBs, guardrails, pipelines Develop or integrate a minimal front-end UI for demos Work closely with the founder/CEO on system logic, features, and platform evolution Operate with high autonomy, precision, and startup agility This is an opportunity to become core founding technical talent. Responsibilities Architect MVP-level cognitive/AI engine using Python + LLM frameworks Build secure API layers and lightweight database structures Develop UI components (or work with a front-end partner) Translate conceptual/strategic design into functional product Implement security, privacy, and compliance best practices Help shape the product roadmap, research stack, and technical vision Ideal Candidate Profile 3–10+ years experience in: LLMs, RAG, model guardrails Python (FastAPI, LangChain, Pydantic, etc.) Vector DBs (Pinecone, Milvus, Chroma, Weaviate) Cloud deployment (AWS/Azure/GCP) Experience in mental-health, health-tech, gov-tech, neuro-symbolic AI, or cognitive systems is a plus Able to work in a lean startup environment and deliver fast Creative, self-directed, and aligned with mission-driven impact Compensation & Equity Because this is an early-stage funded startup: Compensation is negatable based on experience and role Initial compensation is deferred, paid retroactively once seed capital is raised Equity participation available (1%–5% depending on role and contribution) Flexible contractor (1099) structure with option to convert to Core Team IP, Copyright, and Confidentiality All work produced under this engagement is: Work for Hire Fully owned and copyrighted by company Covered under strict NDA, non-compete, and non-solicit terms Cannot be replicated, shared, or reused outside MindCube This is a protected project with proprietary IP, architecture, and brand assets. Location Requirement Candidates must be based in or willing to commute to the Washington D.C. / Maryland / Northern Virginia (DMV) region for periodic in-person collaboration. How to Apply Please send: Resume or LinkedIn Short note on why you’re a fit Portfolio or GitHub (if applicable) Job Type: Contract Pay: $50,000.00 - $100,000.00 per year Work Location: Remote