Full Stack Engineer

7 days ago


Greater Adelaide Area, Australia AccuFind Law Full time $80,000 - $120,000 per year

About Us

AccuFind is an Adelaide-based AI startup building tools for high-stakes government operations. We integrate organisational policies with legal frameworks to help frontline workers - police officers, child protection workers, WHS professionals, and regulatory staff - make better decisions in critical situations.

Our technical founder, Hamish Cameron (former CIO of South Australia Police), started AccuFind after seeing firsthand how frontline workers struggled to access the policy and legal information they needed. After a successful public beta with over 60,000 queries from government workers, we're scaling up and expanding our capabilities.

The Role

We're looking for a full stack engineer to work alongside our founder on our core product and roadmap. This is a hands-on role in a small team where you'll have real ownership over technical decisions and direct impact on what we build.

You'll be working on AI-powered systems that government workers depend on - building everything from serverless infrastructure to mobile-optimised frontends, implementing vector search at scale, and creating AI agents from scratch.

What You'll Be Doing

  • Building serverless backend systems on AWS
  • Developing React frontends optimised for frontline government users
  • Implementing vector search using Qdrant for semantic retrieval at scale
  • Building AI agents and workflows from scratch using LLMs
  • Designing multi-tenant SaaS architectures with proper security isolation
  • Managing infrastructure as code using Terraform
  • Working with embeddings, hybrid search, and RAG systems
  • Integrating document processing and policy analysis capabilities

What We're Looking For

Required:

  • Strong Python and React/JavaScript skills
  • Experience building production SaaS applications end-to-end
  • Solid understanding of AWS (Lambda, API Gateway, S3, etc.)
  • Interest or experience in AI/ML, especially LLMs and embeddings
  • Familiarity with vector databases or semantic search systems
  • Understanding of multi-tenant architectures and API design
  • Comfortable working independently in a small team
  • Willing and able to obtain an Australian Government Security Clearance

Bonus points for:

  • Experience with vector databases (Qdrant, Pinecone, Weaviate) in production
  • Built AI agents or autonomous workflows from scratch
  • Fine-tuned embedding models or worked with RAG pipelines
  • Experience with Terraform and infrastructure as code
  • Background in legal tech, compliance, or regulated industries
  • Built systems for government or high-security environments

Why This Role Matters

Your work will directly support people making critical decisions. Police officers deciding whether to make an arrest. Child protection workers assessing risk to children. Safety officers interpreting complex WHS legislation.

You'll be working on genuinely interesting technical problems - vector search at scale, multi-tenant isolation, AI agents, document processing - and you'll see the real-world impact of what you build.

Tech Stack

Backend: Python, AWS Lambda, API Gateway, DynamoDB, S3

Frontend: React, WebSocket, modern JavaScript

AI/ML: LLM APIs, embeddings, vector database

Infrastructure: Terraform, AWS, Cognito, CloudWatch, Bedrock, SageMaker

Testing: pytest, Jest, React Testing Library, etc

Location & Work Arrangement

Preference for Adelaide-based candidates.

Hybrid work with a preference for some in-office work, especially early on as we establish team rhythms and build out new features together. We have a new office on Pirie Street in Adelaide's CBD.

Remote candidates may be considered for exceptional fit, but Adelaide-based is strongly preferred.

Compensation

Competitive salary based on experience. Equity options available for the right candidate.

How to Apply

Send your CV/LinkedIn profile to
 along with:

  • A brief note about why you're interested in this role
  • Links to relevant work (GitHub, portfolio, side projects, etc.)

We're particularly interested in seeing examples of AI projects you've built, production systems you've shipped, or interesting technical problems you've solved.

AccuFind acknowledges that we operate on the traditional lands of the Kaurna people.


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