Lead AI Engineer

Opus Recruitment Solutions Limited; Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

Opus Recruitment Solutions Limited partners with a world-leading AI company to assemble a brand-new engineering team across Australia. You will design, build, and deploy production‑grade AI applications for enterprise customers, solving complex business problems with GenAI, LLMs, and AI agents.

This is a hands-on role owning solutions from concept through deployment, mentoring engineers, and shaping best practices while ensuring reliability, security, and scalable performance in production

Qualifications

• Strong software engineering experience with Python and modern application development practices.

Responsibilities

• Design, build, and deploy production-grade AI applications for enterprise clients.
• Lead technical delivery across the full software development lifecycle.
• Mentor engineers and contribute to engineering best practices.
• Optimize AI solutions for reliability, scalability, security, and performance.
• Develop scalable AI solutions using Python, APIs, microservices, cloud platforms.

Skills

Python

GenAI & LLMs

AI Agents

Multi-Agent Systems

Cloud platforms

Tools

APIs

Microservices

Job description

I'm excited to be partnering with one of the world's leading AI companies as they build a brand-new engineering team across Australia.

This is an opportunity to work directly with enterprise customers, solving complex business problems through cutting-edge AI, Agentic AI, and Large Language Model technologies.

About the Role

You'll work at the intersection of software engineering, AI, and customer delivery. You'll partner with clients to design, build, and deploy production-grade AI applications that deliver real business outcomes.

This is a highly hands-on engineering role where you'll own solutions from concept through deployment and work with some of the latest advancements in Generative AI and Agentic Systems.

Design, build, and deploy production-grade AI applications using LLMs, Generative AI, AI Agents, and Agentic Workflows.

Develop scalable AI solutions using Python, APIs, microservices, cloud platforms, and enterprise data systems.

Lead technical delivery across the full software development lifecycle, from architecture through production deployment.

Optimize AI solutions for reliability, scalability, security, and performance in production environments.

Mentor engineers and contribute to engineering best practices across the team.

About You

Strong software engineering experience with Python and modern application development practices.

Experience building, deploying, and supporting AI applications in production environments.

Hands-on experience with GenAI, LLMs, AI Agents, Agentic AI, or Multi-Agent Systems.

Proven track record building AI solutions beyond basic RAG implementations.

Strong problem-solving, stakeholder engagement, and delivery skills, with a track record of driving business outcomes.