Full-Stack Agentic Engineer

Careers

Engineering roles are shifting. The day-to-day is now orchestrating AI agents, writing precise specifications, and validating what they produce, but that only works on a solid engineering foundation. You still need to reason about code, debug production issues, and make sound architectural decisions.

We're a venture studio that creates AI-powered businesses on enterprise-grade cell-based infrastructure where security, compliance, portability, and transparency are baked in from day one. Agentic workflows have changed how we deliver: POCs that used to take sprints now take hours. They're throwaway by design, built to validate assumptions and define what the MVP needs. MVPs are then purpose-built from the ground up for production. This rapid POC-to-MVP cycle is the rhythm you'll work in every day.

What You'll Do

Use agentic coding tools (Claude Code, Cursor, Codex) as your primary mode of building, designing specifications, directing agents, and reviewing their output. Know when to code by hand; manual coding is just as important, but agentic workflows drive the day-to-day rhythm.
Write detailed task specifications, tickets, and contractual prompts that translate product requirements into precise agent instructions. Build and maintain agent harnesses: the scaffolding, guardrails, and feedback loops that keep agents productive.
Review and debug AI-generated code with the same rigour you'd apply to human-written code. Implement testing and validation pipelines that catch agent errors before production.
Build responsive web apps (React/Next.js/TypeScript) and server-side systems (Node.js), design API contracts (REST, tRPC, gRPC), and create AI-assisted workflows and multi-agent networks.
Understand and build within cell-based architectures where security, compliance, data isolation, portability, and transparency are structural requirements.
Partner with technical co-founders and UX leads across multiple ventures, context-switching effectively while documenting decisions and agent configurations for the team.

What This Role Requires

Required: Engineering Skills

TypeScript & React/Next.js: You can build, debug, and reason about modern frontend and full-stack applications.
System design & API contracts: Experience designing scalable systems and typed API contracts (REST, tRPC, gRPC). You understand enterprise requirements like data isolation, audit trails, and compliance-by-design.

Required: The Agentic Layer

Agent orchestration fluency: Demonstrated experience using AI coding agents (Claude Code, Cursor, Copilot, Codex, or similar) as core productivity tools, not just autocomplete.
Specification & prompt design: Ability to write detailed, purpose-driven tickets and contractual prompts that reliably produce correct agent output.
Code review & quality ownership: Ability to read, review, and debug code you didn't write, whether produced by an agent or a teammate, and maintain quality across AI-augmented codebases.

Nice to Have

Python for backend services, data pipelines, AI/ML integration, or scripting.
AI orchestration frameworks (LangChain, LangGraph, CrewAI, AutoGen, MCP) or multi-agent system design.
Familiarity with cell-based infrastructure, zero-trust networking, or compliance-by-design patterns.
Flutter or React Native for mobile (used selectively across some ventures).
Experience in regulated industries or venture studio / multi-product environments.

Common Technologies

Agentic

Claude Code, Cursor, GitHub Copilot, Codex, MCP, Agent Skills

Frontend

React, Next.js, TypeScript

Backend

Node.js, tRPC, gRPC, Python, PostgreSQL, Firestore, LangChain/LangGraph

Infrastructure

GCP, Docker, Kubernetes, Terraform, cell-based architecture, compliance-by-design

AI/ML

Anthropic Claude, OpenAI, Vertex AI

Growth Path

30 Days
Get up to speed on our infrastructure, enterprise patterns, and agentic workflows. Ship your first POC using agent-first methods.
90 Days
Contribute meaningfully across multiple ventures, take ownership of features end-to-end, and start establishing your agent harness patterns.
6 Months
Own complex features, contribute to architecture decisions, and help shape how the team works with agentic workflows.

Fig. Trajectory in the first six months.

Why This Role Is Unique

Multiplied Impact

Your engineering and orchestration skills launch multiple startups, not just ship one feature.

Enterprise-Grade Environment

Work within infrastructure where security, compliance, portability, and transparency are structural.

Cutting-Edge Practice

Work with the latest agent frameworks, MCP integrations, and Agent Skills, and shape products from concept to launch.

Define the Future Role

Help define what "agentic engineer" means in practice. Your experience here will be the blueprint.

Compensation

Base: $80K–$120K AUD (based on experience) + Bonus
Benefits: Flexible PTO, professional development budget, remote-first culture

Interview Process

Portfolio Review (async)
Share projects demonstrating strong engineering, agentic workflows, AI integration, or multi-product work.
Intro Call (30 min)
Get to know each other and explore fit.
Agentic Challenge (take-home)
Build a small React + API integration using AI agents. We evaluate your engineering decisions, orchestration approach, code review process, and final output quality.
Technical Interview(s) (1–2 rounds)
Architecture discussion, system design, agent workflow walkthrough, code review exercise.
Reference Checks
2–3 professional references.

apply

Send a note.

Email hello@1qlabs.ai with:

Your resume/CV and a portfolio (especially projects demonstrating engineering depth and agentic workflows).
A brief note (max 300 words) on how you use AI agents in your development workflow today, and how it complements your engineering skills.
Your timezone and Sydney availability hours.

We review weekly and respond within 5 business days. 1QLabs welcomes diverse perspectives. We're building a team of engineers who combine deep technical skill with agentic fluency to shape the future of AI-powered businesses.

Apply via email