Founding AI Engineer / Lead Developer

We’re looking for a hands-on, visionary builder to lead the end-to-end development of
StaffCloud.ai—a free, modern ATS (Applicant Tracking System) built for both external clients and
internal ops. As the founding engineer, you’ll architect clean, cloud-agnostic, scalable systems while
using AI agents as true leverage to accelerate development. This role is ideal for someone who
thrives on rapid iteration, treats AI as a productivity multiplier, and is ready to ship fast, safe, and
measurable results.

Qualifications:

• **10+ Solid programing experience as FS using Python Postgres (Prisma/Drizzle), Redis (jobs/cache), OpenAPI.**
• **7+ YOE building B2B SaaS; 3+ leading/architecting.**
• **Strong in TypeScript, Node.JS, SQL schema design, and performance tuning.**
• **Frontend: +7 yoe React or Next.js with component library + form/runtime validation.**
• **Infra: Docker, IaC-friendly; pluggable storage/queue/email; works on any major cloud.**
• **Demonstrated AI-native engineering: prompt design, tool calling, agent orchestration, eval harnesses, safety/guardrails.**
• **Pragmatic product sense: write crisp tickets, define AC, and make scope cuts that protect UX and velocity.**

Desired Skills:

• ATS/HRIS/CRM domain, multi-tenant theming/white-label, public APIs/webhooks, SOC 2 readiness, EN/ES.

Responsibilities:

• Architecture (cloud-agnostic): Design a modular, multi-tenant Node.js/Typescript and Python + Postgres platform; containerize with Docker; keep providers swappable (object storage, email, queues).
• Full-stack delivery: Stand up core ATS flows (req intake, pipeline/Kanban, scheduling, scorecards, hosted careers) and initial CB Ops modules.
• AI as workforce: Build and operate an in-house agent framework (tool registry, retries/backoff, state store, H/ITL gates, evals). Treat agents like junior developers: task, test, and monitor cost/latency.
• LLM-agnostic integration: Abstract providers behind a simple interface; support fallbacks, timeouts, and circuit breakers; add offline mocks for tests.
• Quality & safety: Implement RBAC, audit logs, PII handling, prompt-injection defenses, bias guardrails, and deterministic transforms where needed.
• Operability: CI/CD, feature flags, migrations, OpenTelemetry traces, structured logs, metrics for WAUs, submit? interview time, PQL triggers.