Mid-Senior AI Engineer – Agents & AWS (Music Industry)

Mid‑Senior AI Engineer – Agents & AWS (Music Industry) At Tuned Global, we build the technology that powers music and audio streaming for some of the world's most recognisable brands. Our platforms sit behind large‑scale consumer products, delivering millions of audio experiences every day.

We're not experimenting with AI, we're shipping it into production at scale.

Proprietary in‑house audio detection models

LLM‑powered agent systems

Personalisation and recommendation intelligence

Scalable AI infrastructure and orchestration

Headquartered in Melbourne, we also have an expanding global AI capability group, including an AI Sciences team based in the UK, and a Data Science team in Sweden, working alongside our local product and engineering teams to deliver next‑generation music intelligence products.

We're now looking for a Mid‑Senior AI Software Engineer to join our Melbourne team and help build the next wave of applied AI systems for audio and streaming platforms.

We are located on the edge of the CBD in Docklands, with easy access via train, tram, or car. We offer an excellent package and flexible work arrangements, including working from home for a number of days each week and birthday leave.

The Role As a Mid‑Senior AI Engineer you will be focused on designing, building, and scaling AI agents that operate within real business workflows and combine modern cloud engineering with advanced Agentic workflows.

You will help define the technical patterns, standards, and best practices for how AI agents are built and operated across our music cloud platform.

You will work on projects such as:

LLM‑powered orchestration systems and AI agents

Retrieval‑Augmented Generation (RAG) pipelines

AI‑powered automation tools integrated into real platforms

Internal AI developer tooling and infrastructure

AI services deployed on AWS for reliability, scale, and performance

This is a hands‑on engineering role with real ownership, building AI agents that are used at scale in commercial environments.

You will work hands‑on with

Python, AWS, AWS Bedrock, LLMs, and modern agent frameworks , collaborating closely with product, platform, and operational teams in a fast‑moving scale‑up environment.

Key Responsibilities AI Agent & Workflow Development

Design and build AI‑powered agents and multi‑step agentic workflows to automate and augment internal business processes using LLMs.

Implement tool‑using agents that can call internal services, APIs, and data sources.

Build retrieval‑augmented generation (RAG) pipelines and structured knowledge access.

Apply modern agent patterns such as multi‑step planning, orchestration, and human‑in‑the‑loop workflows.

Develop and operate AI systems using

AWS‑native services , including Lambda, ECS/EKS, Step Functions, SQS, DynamoDB, and S3, Bedrock (or equivalent LLM services).

Design secure, scalable, and cost‑aware solutions suitable for production environments.

Build internal tools and services required to support agents (APIs, data models, workflow services).

Work closely with engineering, product, and operational teams to identify high‑impact use cases for AI agents.

Translate business problems into reliable, maintainable AI‑driven systems.

Contribute to architectural decisions and technical standards around AI and automation.

Reliability & Continuous Improvement

Implement monitoring, logging, and evaluation for agent behaviour and system performance.

Continuously improve prompt quality, agent reliability, and workflow efficiency.

Stay current with emerging best practices in LLMs, agent frameworks, and AI system design.

Skills / Experience: Required

5+ years of professional software engineering experience

Strong experience building backend services in production environments

Minimum 2+ years of AWS cloud experience designing and deploying real workloads

Experience working with LLMs, including API‑based models and prompt engineering

Understanding of AI system patterns (RAG, agents, embeddings, vector stores, evaluation)

Strong proficiency in Python (and/or other backend languages)

Strong engineering fundamentals: system design, scalability, performance, reliability

Australian work authorisation required at time of application

Preferred / Nice to Have

Experience with

agent frameworks

such as:

LangChain

Function / tool calling

Multi‑agent or orchestrated workflows

Familiarity with

Model Context Protocol (MCP)

or similar approaches to structured tool and context integration.

Experience with:

Retrieval‑augmented generation (RAG)

Vector databases and embeddings

Event‑driven or asynchronous architectures

Experience building internal developer or operational tooling.

Exposure to music, media, or content platforms.

Why Tuned Global This is an opportunity to join a company with:

A mature, global platform powering real audio streaming businesses

A growing AI investment strategy with international collaboration

A culture of building and shipping, not endless experimentation

Access to real‑world datasets and production systems

The chance to build applied AI that directly improves products

What's on Offer

Competitive salary package

Hybrid work model based in Melbourne

Opportunity to work with world‑class engineering and AI teams across Australia, the UK and Sweden

High‑impact role with real ownership and room to grow

Work on cutting‑edge LLM and AI agent systems deployed into production

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