Senior Full-Stack / AI Systems Engineer (Lead Platform Owner)

The Mission

You will take ownership of an existing AI-powered SaaS platform (D50 AI), stabilize it, make it production-ready, and ensure Division50 fully controls the code, infrastructure, and future development.

This is not a greenfield project.

This is not a “ticket-taking” role.

You will inherit:

an imperfect codebase,

partial documentation,

multiple third-party AI and telecom integrations,

and a founder who needs execution, not theory.

If you enjoy untangling systems, understanding how things actually work, and turning chaos into something reliable, this role fits. If you need perfect specs, it doesn’t.

What You’ll Be Responsible For

1. Platform Ownership & Stabilization

Take full technical ownership of the D50 AI platform.

Understand the existing architecture end-to-end: frontend, backend, AI orchestration, databases, integrations.

Fix stability issues, broken flows, partial logic, and reliability gaps.

Make the platform safe to onboard real users without things breaking.

2. Infrastructure & Deployment

Own deployment and environments on AWS (or equivalent).

Ensure proper environment separation (dev / staging / production).

Set up monitoring, logging, and basic alerting.

Optimize cloud costs so unit economics don’t spiral.

3. AI Orchestration & Integrations

You will work hands-on with:

OpenAI (text + images)

ElevenLabs / Cartesia (voice generation)

Deepgram (speech-to-text)

HeyGen (video generation)

AI orchestration frameworks (Langflow or equivalent agent/workflow orchestration)

You don’t need to invent new models. You need to:

wire them correctly,

manage failures,

handle retries,

and ensure predictable behavior.

4. Telephony & Communication Systems

Own integrations with Twilio and Telnyx.

Understand call flows, call states, retries, dispositions, recordings.

Ensure calls, transcripts, recordings, and outcomes are logged correctly.

Make sure AI caller behavior is reliable and debuggable.

5. CRM & Campaign Logic

Maintain and improve the internal CRM logic:

leads

• activities
  
  call logs
  
  email logs
  
  campaign status
  
Ensure MongoDB schemas are clean, scalable, and documented.

Ensure onboarding logic flows correctly into campaign creation, asset generation, and calling logic.

6. Frontend Ownership

Maintain and improve the SaaS dashboard UI.

Work with a React-based frontend (exact framework to be confirmed).

Fix UX-breaking issues that block onboarding or campaign setup.

You don’t need to be a designer, but things must work and make sense.

7. Documentation & Knowledge Transfer

Create real documentation as you go:

architecture overview

• deployment steps
  
  key workflows
  
  integration points
  
Make the platform understandable to the next engineer, not just yourself.

Requirements

Backend & Systems

Strong experience with Node.js / Python (at least one deeply).

Experience building and maintaining APIs.

Comfortable with async systems, queues, retries, and failure handling.

Databases

MongoDB (required).

Ability to design schemas that support CRM-style workflows and logs.

Frontend

React (or similar modern JS framework).

Comfortable debugging production frontend issues.

Cloud & DevOps

AWS (EC2, S3, basic networking, IAM).

Docker (or similar containerization).

CI/CD basics (GitHub Actions or similar).

AI / LLM Systems

Practical experience with OpenAI APIs.

Understanding of prompt-driven systems and AI workflows.

Experience with AI orchestration tools (Langflow, LangChain, or similar) is a big plus.

Telephony / Real-Time Systems

Experience with Twilio, Telnyx, or similar.

Understanding of call states, SIP concepts, webhooks, and event-driven systems.

Nice to Have (Not Required)

Experience with SaaS billing systems.

Experience stabilizing MVPs into production systems.

Experience inheriting messy codebases.

Experience working directly with founders.

Benefits

• Fully remote
• No micromanagement