Galileo Search is recruiting 3x 1 Forward Deployed AI Engineers for current project work with blue-chip Australian clients.

About the Role You will be the engineer in the room when an unclear business problem has to become a production system. You will work directly with users, write the code, make product calls and own the path from the first useful workflow to secure, measurable adoption.

Responsibilities

Work directly with customers, business leaders and end users to understand real operational problems

Turn ambiguous workflows into a clear technical scope and the smallest useful production release

Design, build and deploy full-stack AI applications, agentic workflows and internal tools

Connect models to enterprise data and systems through APIs, retrieval pipelines, tool calling and MCP servers

Build the production layer around the model, including evaluation, observability, permissions, security, cost and human oversight

Move quickly from prototype to production without leaving behind fragile experiments

Support adoption, measure workflow impact and improve what you have shipped from real user feedback

Turn successful delivery patterns into reusable components, playbooks and product improvements

Qualifications

Five or more years of software engineering, applied AI or technical deployment experience

Required Skills

Strong production coding ability in Python, TypeScript or a comparable language

Evidence that you have shipped software used by real customers or employees

Hands‑on experience building or deploying LLM and generative AI systems, such as RAG, agents, tool use, evaluation pipelines or workflow automation

Experience integrating with real enterprise environments, including APIs,



cloud infrastructure, data platforms, authentication and security controls

Product judgement: you can decide what should be built, reduce scope intelligently and explain the trade‑offs

Confidence working directly with technical and non‑technical stakeholders

Comfort operating independently when the requirements are incomplete and the environment changes quickly

Preferred Skills

Experience in any of the following will strengthen your application:

Enterprise or regulated environments such as financial services, healthcare, government or critical infrastructure

Agent frameworks including LangGraph, Semantic Kernel, Google ADK or comparable orchestration tools

Azure AI Foundry, AWS Bedrock, Google Vertex AI or another major cloud AI platform

Enterprise authentication and permissions, including OAuth, SAML, SSO and role‑based access control

AI evaluation, tracing, observability, safety testing and production monitoring

Running discovery workshops, mapping workflows or supporting users through adoption

You do not need every tool on this list. We are more interested in how you work and what reached production than a long list of frameworks.

Pay range and compensation package $170k to $230k + super depending on experience level.

Equal Opportunity Statement Galileo Search welcomes applications from people of all backgrounds. If you meet most of the requirements and can show robust evidence of production delivery, we encourage you to apply.

Eligibility & Travel Applicants must have Australian working rights and be based in, or able to work regularly from, Sydney or Melbourne. Some opportunities may involve travel to customer sites. All conversations are confidential.

#J-18808-Ljbffr

📌 Forward Deployed AI Engineer (Port Phillip City)
🏢 Galileo Search
📍 Port Phillip City