AI Platform Operations Associate

Arrows; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Arrows is seeking a skilled AI engineer to design and ship live agent systems for gaming experiences. You will work with a live product, selecting approaches that balance cost, control and speed, then validate outcomes with real users and stakeholders.

You’ll partner with leadership to drive AI strategy, run office hours, demos and internal training, ensuring scalable, observable AI systems across the platform.

Qualifications

• Demonstrable impact from agentic or LLM powered systems you've shipped to real users.
• Hands on experience with an agent framework such as LangGraph, LlamaIndex, Semantic Kernel or ADK, and RAG in production, including embedding models, vector stores, re ranking.
• Strong Python experience on a real engineering foundation: testing, version control, CI/CD, and the APIs that serve your own work.
• Hands on experience with a major cloud and its managed AI services, Azure and AI Foundry or the GCP/AWS equivalents, plus solid SQL and relational modelling.
• Architectural judgement, making the design call, defending the trade offs, and knowing where an LLM system needs optimising on cost, latency and output.
• Strong product sense, data driven thinking, and an understanding of what players actually need.

Responsibilities

• ow people actually want to engage with sport, together. The comparison the founders draw is Revolut disrupting Barclays or Robinhood disrupting Etrade; this team is executing the same playbook against the traditional gaming sector.

Skills

Agent frameworks

LLM/RAG in production

Python

Cloud AI services

SQL

Architecture judgement

Product sense

Tools

LangGraph

LlamaIndex

Semantic Kernel

ADK

Job description

Arrows is seeking a skilled AI engineer to design and ship live agent systems for gaming experiences. You will work with a live product, selecting approaches that balance cost, control and speed, then validate outcomes with real users and stakeholders.

You’ll partner with leadership to drive AI strategy, run office hours, demos and internal training, ensuring scalable, observable AI systems across the platform.