division50 is seeking a Senior Full-Stack / AI Systems Engineer to take full technical ownership of our AI-powered SaaS platform, D50 AI. Your core mission will be to audit the existing system, migrate it away from a third-party vendor, stabilize its reliability, and make it safe for real users. This is a high-impact, hands-on lead role focused on migration, stabilization, and integrations.

What You'll Do

Perform a technical audit of the existing platform before and during migration, reviewing code quality, architecture, workflows, and integrations.
Identify broken or unstable components and clearly flag issues for the vendor to fix for a clean handover.
Support and validate the migration to Division50-owned infrastructure, confirming delivered code runs correctly.
Take full technical ownership of the D50 AI platform, understanding its architecture end-to-end.
Fix reliability issues, broken flows, and silent failures to make the platform safe to onboard real users.
Own environments and deployments on AWS, ensuring proper separation of dev, staging, and production.
Set up logging, monitoring, basic alerting, and optimize cloud costs.
Work hands-on with AI integrations (like OpenAI, ElevenLabs/Cartesia) and orchestration tools such as Langflow.
Wire AI models correctly, handle failures and retries, validate outputs, and ensure predictable behavior.
Own integrations with Telnyx and/or Twilio for telephony and real-time systems.
Maintain and improve CRM-related logic and integrations with platforms like GoHighLevel.
Maintain and improve the SaaS dashboard UI (React or similar), fixing UX-breaking issues.
Create clear, usable documentation for architecture, deployment steps, core workflows, and integration points.

What We're Looking For

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.
MongoDB experience (required).
Experience with OAuth2, webhooks, retries, idempotency, and rate limits.
Experience integrating third-party platforms reliably.
Practical experience shipping AI-powered features.
Experience managing inconsistent outputs and AI failures.
Familiarity with AI orchestration tools (Langflow, LangChain, etc.).
Experience with Twilio, Telnyx, or similar telephony systems.
Understanding of real-time event-driven systems.
AWS experience (EC2, S3, IAM, basic networking).
Docker experience.
CI/CD fundamentals.
Experience with multi-tenant systems, RBAC, tenant isolation, and secrets management.
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 with Postgres / Supabase.
Ability to design schemas for workflow state and logs.
Experience stabilizing MVPs into production systems.
Experience working directly with founders.
Experience preparing platforms for scale.

Technical Stack

Backend: Node.js, Python
Databases: MongoDB, Postgres/Supabase
Infrastructure: AWS (EC2, S3, IAM), Docker
AI: OpenAI, ElevenLabs/Cartesia, Deepgram, HeyGen, Langflow/LangChain
Integrations: Telnyx, Twilio, GoHighLevel
Frontend: React

Team & Environment

You'll have high autonomy, working closely with leadership to own technical decisions and execution.

Benefits & Compensation

Early ownership role with direct impact on a live AI-powered platform.
High autonomy: own technical decisions and execution.
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.
Starting compensation from $2,500/month, with reviews tied to platform stability and growth.