About the role:

AusRehab, a NSW workplace rehabilitation provider, is building a new in-house software platform to manage leads, cases, invoicing, communications, and audits — with a significant agentic AI component at its core. We're hiring two developers into equivalent full-stack roles; there's no split between a "backend hire" and a "frontend hire." In a small team, flexibility outweighs the depth gained by over-specialising at this stage.

What the role covers:

1. Agentic engineering — designing and implementing practical agentic solutions to real-world problems in the health industry. Not a pure research role, but some research and experimentation is expected

2. Full-stack web and mobile app development — front-end, back-end, database, telemetry, analytics, and reporting for in-house apps managing leads, cases, invoicing, communications, and audits

3. Infrastructure & DevOps — primarily AWS and GitHub (source control and CI/CD), with possible Docker/Kubernetes work ahead. Everyone owns their own infrastructure — no separate ops team to hand this off to

4. Direct stakeholder engagement — working with non-technical business stakeholders (case consultants, employment consultants, admin, and accounts staff) to understand, resolve, and train them on what gets built, alongside product management

The work is mostly integration and product engineering, connecting systems that don't currently talk to each other. The right person can hold the full picture, move between layers without needing a specialist for every handoff, and judge where to go deep vs move fast.

Required skills:

Tech Stack:

• Python — backend dev and agentic workflows, production level
• TypeScript and its ecosystem — React, React Native, Next.js for web and mobile
• Database — relational DB experience (Postgres preferred, SQL Server/MySQL/Oracle fine too)
• Git — good source control discipline
• Infrastructure — AWS and Kubernetes experience highly valued (K8s implies Docker); AWS services actually in use: IAM, S3, SQS, VPC, Lambda, EC2. Good to have, but negotiable
• DevOps — GitHub Actions or equivalent CI/CD experience is a plus

Engineering Skills:

• Strong communication — across executives, developers, and non-technical business staff
• Problem-solving — first-principles reasoning, genuine trade-off studies, knows when to be rigorous vs when to move fast. Comfortable with ambiguity — requirements here are emergent, not fully defined tickets
• Teamwork — collaborative in-office and remote, reconciles different working styles, puts the team first, owns responsibilities, meets deadlines and flags risk early

AI Fluency:

• Understanding of key AI concepts — LLMs, context windows, tokens, prompt engineering, agents, MCP, tools/skills
• Designing agentic processes to drive quality — engineering around LLM non-determinism/hallucination while harnessing their full power. This is the centrepiece of the role
• Experience with an agentic framework (LangChain, LangGraph, or similar) — big plus, not essential
• ML experience valued but not essential — parallels to classical ML design thinking; understanding transformer architecture helps with model selection and anticipating LLM failure modes
• Effective use of an AI coding agent for coding, tooling, and experimentation — essential
• Critical review of AI-generated work — essential; must be able to say specifically why something's wrong, not just that it "feels off"

To explore additional opportunities with AusRehab, please visit our Careers page at Careers | Join Our Dream Team - AusRehab