Platform Engineer (ML)Openkyber • GA, United States

Platform Engineer (ML)

Openkyber • GA, United States

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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 company

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)

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Ml Engineer • GA, United States

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