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AI Engineer at Professional Search Group – Melbourne VIC | Jobyssey

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AI Engineer

Professional Search Group · Melbourne VIC · 1 month ago

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Work mode: Hybrid
Employment: Contract
Category: AI engineering
Salary: AUD 900 – 1,000 / day

agentic-ai ai api api-design autogen aws azure cloud fine-tuning gcp generative-ai langchain

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vector-databases

Six-month contract AI Engineer role in Melbourne (hybrid) building production-grade generative AI agents and LLM solutions: architecting autonomous agents, integrating them with enterprise systems and APIs, and setting up evaluation, monitoring, and governance frameworks. Core stack is Python with GenAI frameworks (LangChain/LlamaIndex/AutoGen) and cloud platforms (AWS/Azure/GCP).

Salary: AUD 900 - 1000 per day

AI Engineer | 6-Month Contract | Melbourne

Location: Melbourne, VIC (Hybrid)
Work Type: Contract / Temp
Classification: Information & Communication Technology > Developers / Programmers
Rate: $900 – $1,000 / day

About the Role
We are seeking a skilled AI Engineer for a 6-month contract based in Melbourne. You will drive the development and deployment of production-grade AI agents and Generative AI solutions that tackle practical business challenges.
In this hands-on contract role, you will bridge the gap between cutting-edge LLMs and robust enterprise architecture - building autonomous agents, orchestrating integrations, and establishing essential governance and monitoring frameworks.

Key Responsibilities

Develop AI Agents: Architect and deploy custom AI agents that solve complex, real-world business problems.
Enterprise Integration: Connect AI models and agent workflows with enterprise systems, APIs, and data repositories.
Testing & Governance: Implement evaluation loops, latency/cost monitoring, guardrails, and security governance for safe deployment.
Stakeholder Collaboration: Work closely with cross-functional teams to deliver secure, reliable, and production-ready AI products.

Key Requirements

Generative AI & Agent Orchestration: Hands-on experience building GenAI solutions, leveraging RAG, prompt design, and frameworks (e.g., LangChain, LlamaIndex, AutoGen).
Core Technical Stack: Advanced Python programming along with strong API design and systems integration skills.
Cloud & Enterprise: Experience deploying AI applications within cloud environments (AWS, Azure, or GCP).
Communication: Outstanding problem-solving ability with clear stakeholder communication skills.

Desirable Experience

Background working within Higher Education or large institutional settings.
Experience with vector databases, fine-tuning, or open-source LLM deployments.