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Senior Full Stack Engineer - Agent Experience

Ninjatech Ai — Australia · Posted ~3 hours ago

Senior Full-time Hybrid

Skills

5+ years of full-stack production experience TypeScript React Next.js Backend development API development Production operations Reliability Observability Latency optimization APIs

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Summary ✨ AI‑Generated

A senior full-stack engineering role focused on building the interface and supporting services through which users interact with advanced AI agents. You will own features end to end across UI, APIs, and backend systems, take responsibility for reliability and observability in production, and turn ambiguous ideas into working software quickly. The role offers close collaboration with AI-focused engineers and significant influence over product direction.

Highlights

High-visibility ownership of end-to-end product experiences, close collaboration with AI and science engineers, continuous production delivery, and strong exposure to product decisions driven by real usage data.

Description

Sydney Full-time On-site/hybrid SuperNinja is an AI workforce that plans, writes code, runs research and ships real work for customers. You would own the surface where people meet that agent — the thread, the workspace, the moment a task becomes a deliverable. It is the highest-visibility slice of the product and it changes weekly. What You'll Do Own end-to-end slices of the agent experience — UI, API and the backend services behind them, not just the frontend of someone else's endpoint. Ship agent-facing features into production continuously and stay on them: reliability, latency, incidents, observability. Turn ambiguous product bets into working software in days, then decide from usage data whether to double down or delete it. Work directly with our AI and science engineers on how tools, context and streaming behave in the product. What We're Looking For 5+ years building and operating full-stack products in production. Strong TypeScript/React (we run Next.js) and genuine backend depth in Python (FastAPI) — you can design a schema and debug a slow query, not only call an API. Product instinct: you argue about the shape of the feature, not only the ticket. Comfort with high change rates and incomplete specs. Agentic products do not hold still. Stack: Next.js/React/TypeScript, Python/FastAPI, Postgres/Supabase, AWS (CDK, CloudFront, ECS, Lambda, Cognito), containerised agent sandboxes.