Job description
About The Company
Our client is a company building the go-to AI Copilot for educators, universities, and international schools, supported by Antler and Nvidia - currently post-MVP, early stage, and revenue-generating. If you’re resourceful, scrappy, and obsessed with building real AI systems (not just writing prompts), you’ll thrive here.
The Role
We move fast and ship what matters. You will:
▪️ Work directly with the founder to build 0 → 1 features on a LAMP stack
▪️ Architect and maintain multi-agent workflows (CrewAI, LangGraph, or custom)
▪️ Implement Retrieval-Augmented Generation pipelines, vector stores, and inline citations
▪️ Stand up staging / pre-prod / prod environments with branch-based deploys, migrations, smoke tests, and instant rollback
▪️ Build CI/CD, containerisation, and structured logging + alerting (Datadog/Sentry/ELK) so every push is safe and observable
▪️ Create high-throughput bulk processors that queue 10 k+ PDFs, stream progress, and cap token spend
▪️ Integrate with LMS APIs (Canvas, Moodle) and SSO (OAuth, SAML)
▪️ Ship educator-facing dashboards, settings, and analytics with minimal hand-holding
Outcomes
Outcome 1 – Multi-Agent Engine Live
▪️ < 2 s p95 latency, 99.9 % uptime
Outcome 2 – Safe & Scalable Delivery
▪️ Automated tests on every PR, gated staging deploys, zero-downtime prod releases for hundreds and thousands of users
Outcome 3 – Full Observability
▪️ Dashboards for usage, token spend, agent performance, and error budgets
You Should Apply If You…
▪️ Have 3 + yrs PHP/Laravel, Linux/Apache, MySQL, and modern JS (Vue/React)
▪️ Built or orchestrated multi-agent systems and understand task routing, memory, reflection
▪️ Know vector DBs (Pinecone, Qdrant, Supabase Vector) and embedding trade-offs
▪️ Have shipped reliable CI/CD, staging, and rollback pipelines with observability stacks
▪️ Profile, cache, and test because speed = feature
▪️ Have shipped a real product or side project that users love
Hiring Process
▪️ Intro Call (30 min)
▪️ Async Build Challenge – small multi-agent RAG task
▪️ Final Call (45 min) – live pairing with the founder
▪️ Offer – decision within 10–14 days
What You Get for All Your Hard Work
▪️ CTO title at an Antler-funded & NVIDIA-Inception-backed startup
▪️ Phase 1:Equity-only vesting from day 1
▪️ Phase 2:Competitive salary plus equity top-up once ARR milestone is hit
▪️ Performance bonuses tied to uptime, throughput, and release quality
▪️ Remote-first flexibility
▪️ Full AI tool stack (GPT-4, Claude, local GPUs)
▪️ Rapid path to engineering leadership
