Senior Full-Stack / AI Systems Engineer

Lead Platform Owner (Migration, Stabilization & Integrations)

Remote | Full-time preferred (strong part-time with ramp acceptable)

The Mission

You will take ownership of an existing AI-powered SaaS platform (D50 AI), audit it, migrate it away from a third-party vendor, stabilize it, and make it safe for real users.

This is not a greenfield build.

This is not a ticket-based role.

This is not a research or “prompt engineering” position.

You will inherit:

an imperfect codebase,

partial documentation,

multiple AI, telecom, and CRM integrations,

and a platform that must be stabilized before it can scale.

Your job is to bring order, reliability, and ownership — not to rewrite everything or chase shiny features.

If you enjoy untangling systems, holding vendors accountable, and turning chaos into something dependable, this role fits.

If you need perfect specs and clean handoffs, it does not.

Requirements

What You’ll Be Responsible For

1. Vendor Handover, QA & Migration Oversight (CRITICAL)

Perform a technical audit of the existing platform before and during migration.

Review code quality, architecture, workflows, and integrations.

Identify broken, incomplete, or unstable components before payment milestones.

Clearly flag issues that must be fixed by the current vendor to achieve a clean handover.

Protect the company from paying for unstable or incomplete systems.

Support and validate the migration to Division50-owned infrastructure.

Confirm that delivered code actually runs and matches expected functionality.

You are expected to push back when things are not production-ready.

2. Platform Ownership & Stabilization

Take full technical ownership of the D50 AI platform.

Understand the architecture end-to-end: frontend, backend, AI workflows, databases, and integrations.

Fix reliability issues, broken flows, and silent failures.

Make the platform safe to onboard real users without constant breakage.

3. Infrastructure, Deployment & Observability

Own environments and deployments (AWS or equivalent).

Ensure proper separation of dev / staging / production.

Set up logging, monitoring, and basic alerting.

Introduce visibility into failures (no silent errors).

Optimize cloud costs so unit economics remain sane.

4. AI Orchestration & Model Integrations

You will work hands-on with:

OpenAI (text, image generation)

ElevenLabs / Cartesia (voice generation)

Deepgram (speech-to-text)

HeyGen or similar (video generation)

AI orchestration tools (Langflow or equivalent)

You are not expected to invent new models.

You are expected to:

wire them correctly,

handle failures and retries,

validate outputs,

and ensure predictable behavior.

5. Telephony & Real-Time Systems

Own integrations with Telnyx and/or Twilio.

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

Ensure calls, transcripts, and outcomes are logged and debuggable.

Make AI caller behavior stable enough for paying customers.

6. CRM, Campaign & Workflow Logic

Maintain and improve CRM-related logic:

leads

activities

call and email logs

campaign states

Ensure MongoDB schemas support workflow state and auditability.

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

Support integrations with GoHighLevel or similar CRMs.

7. Frontend Ownership

Maintain and improve the SaaS dashboard UI (React or similar).

Fix UX-breaking issues that block onboarding or usage.

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

8. Documentation & Knowledge Transfer

Create clear, usable documentation:

architecture overview

deployment steps

core workflows

integration points

Leave the platform understandable to the next engineer.

Migration Phases & Expectations

This role operates in three phases:

Pre-Migration Audit

Review the system and deliver a written readiness and risk assessment.

Migration & Handover

Validate the transfer of code, workflows, and infra.

Post-Migration Stabilization & Development

Stabilize the platform and build required integrations.

Within the first 10 business days, you are expected to provide a clear recommendation:

stabilize as-is,

partial rebuild,

or full rebuild — with risks and timelines.

Required Skills (Non-Negotiable)

Backend & Systems

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

Experience building and maintaining production APIs.

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

Databases

MongoDB (required).

Experience with Postgres / Supabase is a strong plus.

Ability to design schemas for workflow state and logs.

Integrations

OAuth2, webhooks, retries, idempotency, rate limits.

Experience integrating third-party platforms reliably.

AI Systems

Practical experience shipping AI-powered features.

Experience managing inconsistent outputs and failures.

Familiarity with AI orchestration tools (Langflow, LangChain, etc.).

Telephony

Experience with Twilio, Telnyx, or similar.

Understanding of real-time event-driven systems.

Cloud & DevOps

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

Docker.

CI/CD fundamentals.

Security & SaaS Fundamentals

Multi-tenant systems.

RBAC and tenant isolation.

Secrets management.

Vendor Takeover & QA

Experience inheriting third-party-built systems.

Ability to review, validate, and challenge vendor-delivered code.

Comfortable blocking handovers when quality is not acceptable.

Nice to Have

Experience stabilizing MVPs into production systems.

Experience working directly with founders.

Experience preparing platforms for scale.

What This Role Is NOT

Not a junior role.

Not a frontend-only or backend-only role.

Not a research or experimentation role.

Not a role with perfect specs or clean handoffs.

Benefits

• Early ownership role with direct impact on a live AI-powered platform.

• High autonomy: you will own technical decisions and execution, working closely with leadership.

• Clear growth path into a lead engineering role as the platform and team scale.

• Equity / stock options available for the right candidate after initial onboarding.

• Meaningful production work across AI workflows, telephony, CRM, and SaaS infrastructure.

• Fully remote, outcome-focused environment.

• Starting compensation from $2,500/month, with reviews tied to platform stability and growth.

This role is best suited for a senior engineer who enjoys taking ownership, stabilizing complex systems, and growing into technical leadership.