Senior Full-Stack Engineer + AI Agent Architect | Django, Next.js

Build What Doesn't Exist. Make What Matters. We're building trusted infrastructure for international education finance, replacing fragmented processes with modern institutional SaaS. Our experienced fintech founders and technical lead have an existing Django/Next.js/PostgreSQL foundation, a defined roadmap, and ambitions beyond the MVP. We value ownership, simplicity, execution, and thoughtful use of AI. We seek one senior full-stack and AI automation engineer to work directly with our technical lead and founders for an initial 90+ days. Venture details shared with shortlisted candidates under NDA. TWO MISSIONS 1. Launch a secure, scalable MVP from the existing codebase. 2. Build practical AI agent capabilities for development, QA, documentation, monitoring, and authorized 24/7 operations. PLATFORM WORK - Multi-tenant architecture, MFA, role-based permissions, audit trails, secure institutional dashboards - Certification and approval workflows, business-rule validation, reporting and exports - Versioned REST APIs, background jobs, integrations and data integrity - CI/CD, staging, backups, monitoring, automated tests and polished responsive UI AI AUTOMATION WORK - Coordinated AI agents integrated with GitHub and CI/CD for coding, testing, reviews and documentation - Monitoring, issue detection and secure operational automation - Tool calling and orchestration with permissions, approval gates, logs, retries, recovery and cost controls - Practical, measurable productivity improvements, not demos or needless complexity REQUIRED - 5+ years strong Python, Django, Django REST Framework - TypeScript, Next.js, React; PostgreSQL and secure multi-tenant SaaS - Workflow/state machines, REST APIs, Redis/background jobs, automated tests - GitHub Actions, cloud deployment and security fundamentals - Hands-on experience building and deploying AI agents or autonomous workflows using LLM APIs and tools; confident with Claude Code, Cursor or equivalent - Strong communication and ability to collaborate with an existing senior technical lead BONUS LangGraph, OpenAI Agents SDK, MCP, fintech/lending/payments, GDPR/OWASP, AWS/Heroku/Cloudflare, payment reconciliation and agent observability. 90-DAY SUCCESS CRITERIA - End-to-end MVP workflows work in production-like staging using synthetic data, with institutional roles and clear next actions - MFA and tenant isolation enforced; permissions, separation and state transitions covered by automated tests - Every PR runs tests, linting and security checks; monitoring and backups configured - Initial AI agents reliably perform selected approved development, QA and monitoring tasks with logs, human approval gates and failure handling - Weekly demonstrations and measurable improvements in delivery quality and efficiency; maintainable code and clear documentation HOW WE WORK Direct collaboration with founders and technical lead. Small reviewable PRs, proactive written updates, weekly demos. Meaningful overlap with U.S. Eastern and East Africa working hours. Our repositories, accounts and review process. Synthetic data only during MVP. NDA and IP/invention assignment required. TO APPLY Answer with concrete examples: 1. What production SaaS, fintech or workflow-heavy platform did you personally build? Link or walkthrough. 2. Describe an AI agent system you actually deployed: autonomous tasks, tools, monitoring and controls. 3. What would you do in your first two weeks joining our existing codebase and roadmap? 4. How do you use and critically review AI-generated code? 5. Your time zone, daily availability and hourly rate. Generic proposals without specific relevant examples will not be considered.