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.
Work Mode
This is a fully remote, global position in an outcome-focused environment.
