The company is an AI platform built specifically for consultants and professional services firms. It helps users draft winning proposals in minutes, transform data into strategic insights, and automate the formatting and delivery of consulting outputs. The platform incorporates consulting frameworks and methodologies, learns a firm's IP, case studies, and templates, and produces proposal-ready outputs while keeping client data private and secure. The company is SOC 2 certified, hosted on AWS, and approved under the NSW Government AI Assessment Framework. It is trusted by 100+ leading consultancies across the globe and is a finalist in the Consult Australia 2026 Awards.
Why Join
• High-velocity, close-knit team where your work matters from day one
• Real product, real customers, real traction
• The opportunity to shape the future of an industry undergoing major disruption
• Hybrid flexibility
• Work hands-on with AI every day
• A strong commitment to learning and professional development, with real support forgrowing your skills
• Meaningful equity as an early member of the team
We are looking for a senior-lead full stack engineer who can harness AI to deliver high-quality production code at startup speed. Someone who is genuinely curious and stays across the latest developments in AI tooling: models, frameworks, what's worth adopting and what's hype. You use every tool at your disposal to move fast but the code that ships will be clean, tested and built to endure.
What you'll do
• Own features end-to-end, from async API design to UI delivery
• Build and optimise AI agent workflows that power real consulting outcomes
• Work across our document pipeline, from rich text editing to polished Word/PowerPoint output
• Work directly with the founding team to shape the product and architecture
• Ship fast, ship often, and keep the codebase something you're proud of
The stack includes:
• Backend: Python (async-first), FastAPI, Pydantic, AWS (Lambdas, ECS)
• Data: PostgreSQL (Aurora), MongoDB/DocumentDB
• Frontend: React
• AI: Pydantic AI, AWS Bedrock (Claude)
• Orchestration: Temporal
• Document layer: ProseMirror (rich text), DOCX pipelines
• Infra: AWS CDK, S3, SNS/SQS, API Gateway
• Observability: structlog, Logfire
• 5+ years of professional experience, enough to know what good code looks like
• Strong async Python backend chops (FastAPI, async patterns, clean architecture)
• Comfortable with relational (PostgreSQL) data models, with migrations via Alembic/SQLModel/SQLAlchemy
• Comfortable in React on the frontend
• You thrive in small teams where your work directly shapes the roadmap and trajectory
• Experience with AWS services in production
• You value tests that run against real data
• Temporal experience is a big plus
• You use AI as a force multiplier, not a crutch
• You work hard, move fast, and you're genuinely energised by how quickly the AI landscape is shifting
Bonus points:
• Hands-on with AI agents or orchestration frameworks (Pydantic AI, LangGraph, etc.)
• Experience building document generation pipelines (python-docx, PowerPoint, ProseMirror)
• Familiar with AWS CDK for infrastructure-as-code
• Observability mindset: structured logging, tracing, instrumentation
