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alfa8

alfa8

via Glassdoor

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

Anywhere
Contract
Posted 12/1/2025
Verified Source
Key Skills:
Python
LLM frameworks
Vector DBs
FastAPI
LangChain
Pydantic
Cloud deployment (AWS/Azure/GCP)
API development
UI development
Security and compliance

Compensation

Salary Range

$50K - 100K a year

Responsibilities

Architect and build an MVP cognitive AI engine using Python and LLM frameworks, develop secure APIs and lightweight databases, and collaborate closely with leadership to evolve the platform.

Requirements

3-10+ years experience with Python, LLMs, vector databases, cloud deployment, and ability to work in a lean startup environment with some in-person collaboration in the DMV area.

Full Description

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

This job posting was last updated on 12/4/2025

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