Senior AI Automation Engineer

Anh
Trinh

Full-Stack Software Engineer

Sole engineer behind an Australian staffing firm's automation programme — event-driven AWS pipelines with Claude as the reasoning layer, built on the tools the business already runs on. Backed by 7 years shipping production web, mobile and cloud systems across four countries' clients.

Open to new roles location_on Sydney, NSW verified_user Full working rights
Anh Trinh, Senior AI Automation Engineer based in Sydney
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Western Sydney Uni
M.ICT Distinction
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AI in production
Claude · Bedrock · RAG
cloud_done
Lambda · SQS · DynamoDB
Event-driven AWS

Currently

Sole engineer on an automation programme in Sydney

Senior AI Automation Engineer at Outsourced Staff Pty Ltd, working directly with the founder. The brief is unusual and I like it: take a description of how a team already works and turn it into automated flows on the tools they already have — no process change, nothing new for anyone to learn.

That means owning each initiative end to end — scope and estimate, architecture, build, testing, rollout, and the runbook someone else can operate it from.

Jun 2026 – Present Hybrid · Contract Full history arrow_forward
500k+ requests load-testedHighly available AWS architecture — no disruption, no data loss
60+ brands on one platformMulti-tenant commerce platform maintained without cross-tenant impact
3 time zones, asyncUS product owner, European engineers, delivery from Vietnam
6.438/7 Master of ICTWith Distinction, Western Sydney University — nine HD subjects

The stack, in two layers

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AI & Automation
smart_toy
Claude / Anthropic API
neurology
AWS Bedrock
search_insights
RAG
travel_explore
OpenSearch
bolt
AWS Lambda
queue
SQS + DLQ
table
DynamoDB
schedule_send
EventBridge
deployed_code
Serverless Framework
account_tree
Make.com
workspaces
Google Workspace APIs
forum
WhatsApp & Reply.io
smart_toy
Claude / Anthropic API
neurology
AWS Bedrock
search_insights
RAG
travel_explore
OpenSearch
bolt
AWS Lambda
queue
SQS + DLQ
table
DynamoDB
schedule_send
EventBridge
deployed_code
Serverless Framework
account_tree
Make.com
workspaces
Google Workspace APIs
forum
WhatsApp & Reply.io
Full-Stack Foundation
code
TypeScript
widgets
React & Next.js
change_history
Angular
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RxJS & NgRx
javascript
Node.js
coffee
Java & Spring Boot
php
PHP Laravel
database
PostgreSQL & SQL
cloud
AWS Cloud
smartphone
Kotlin & Swift
package_2
Docker & CI/CD
brush
Tailwind CSS
code
TypeScript
widgets
React & Next.js
change_history
Angular
sync_alt
RxJS & NgRx
javascript
Node.js
coffee
Java & Spring Boot
php
PHP Laravel
database
PostgreSQL & SQL
cloud
AWS Cloud
smartphone
Kotlin & Swift
package_2
Docker & CI/CD
brush
Tailwind CSS

How I build

Systems that survive the second run

7 years of production delivery, most recently owning an automation programme end to end — scope, estimate, build, rollout and the support afterwards. These are the six things I bring to that, and the evidence behind each one.

The full background arrow_forward
smart_toy

AI That Ships

LLMs behind a contract, not a demo. Forced tool-calling schemas, confidence gates, retrieval grounded in the customer’s own documents, and a human in front of anything a client sees.

Claude · AWS Bedrock · RAG on OpenSearch

hub

Event-Driven by Default

Webhooks, queues and schedulers instead of cron jobs and hope. Work is decoupled behind SQS with a dead-letter queue, so a downstream outage delays a message rather than losing it.

Lambda · API Gateway · SQS/DLQ · EventBridge

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Idempotent Under Retry

At-least-once delivery means every handler will run twice eventually. Provisioning locks, property-keyed upserts and checksum change detection make the second run a no-op.

DynamoDB conditional writes · content hashing

lock

Security by Design

Signature verification on every inbound webhook, least-privilege roles per function, secrets that never reach source control, and tenant data isolated in the query layer rather than the prompt.

HMAC · OAuth · least-privilege IAM · KMS

monitoring

Testing & Observability

Unit and integration suites with in-memory fakes, plus live end-to-end runs against the real third-party APIs. Structured JSON logs you can build a metric filter on, and alerts on the DLQ.

Contract tests · JSON logging · DLQ alerting

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Vendor-Agnostic Cores

Third-party systems live behind an adapter contract, so swapping an ATS, a CRM or a mail provider is a new adapter rather than a rewrite. Proven on a 60+ brand multi-tenant platform.

Adapter pattern · DTO boundaries · Clean Architecture

Writing

45 write-ups across 13 series

Long-form engineering notes on AI automation, AWS architecture, cloud security and the decisions behind them — including a seven-part teardown of a production RAG agent.

Browse all articles arrow_forward

Get in touch

Let's automate
the boring part

If you have a process someone is doing by hand, a pipeline that keeps double-processing under retry, or an LLM feature that needs to be safe enough to put in front of a client — that is the work I want.

Open to senior AI automation and full-stack roles in Sydney
Based in
Sydney, NSW, Australia
Work rights
Full working rights — no sponsorship required
Open to
Contract or permanent · hybrid or remote
Reply time
Within 24 hours, AEST business days