Lead AI Engineer

Capstone Recruitment; City of Melbourne; Hybrid; AUD 130,000 - 170,000; Full time

Benefits offered by this job

Hybrid working arrangements

Cutting-edge AI technologies in prod

Collaborative and high-performing team

Job summary

Capstone Recruitment is partnering with a fast-growing organisation in the digital identity and data space to hire a Lead AI Engineer who will drive the design, development, and delivery of production-grade AI solutions. The role combines technical leadership with hands-on engineering to shape how AI is built, deployed, and scaled across a high-impact platform.

You will lead end-to-end AI initiatives, build LLM-powered systems, scalable APIs, data pipelines, and ensure security, reliability, and

Qualifications

• Proven experience building production-grade software systems.
• Strong hands-on experience with LLMs / GenAI technologies.
• Expertise in backend development (APIs, microservices, data systems).
• Experience with RAG, prompt design, or agent-based workflows.
• Strong understanding of system performance, scalability, and reliability.
• Experience with AI evaluation and quality improvement.
• Excellent communication and stakeholder engagement skills.

Responsibilities

• Lead the design and delivery of end-to-end AI solutions.
• Build and deploy LLM-powered systems (RAG, agents, orchestration).
• Develop scalable APIs, services, and data pipelines.
• Design retrieval and ranking systems for accurate outputs.
• Establish AI evaluation, testing, and quality frameworks.
• Drive LLMOps practices (monitoring, performance, optimisation).
• Ensure solutions are secure, reliable, and cost-efficient.
• Mentor engineers and contribute to technical leadership.

Skills

Proven production-grade software

LLMs / GenAI

Backend APIs / Microservices

RAG / prompts / agents

Systems performance & scalability

AI evaluation & quality

Stakeholder communication

Job description

We’re partnering with a fast-growing organisation in the digital identity and data space, delivering intelligent, data-driven products used in real-world environments.

They’re seeking a Lead AI Engineerto drive the design, development, and delivery of production-grade AI solutions - combining technical leadership with hands-on engineering.

This is a rare opportunity to work with modern LLM architecturesand shape how AI is built, deployed, and scaled across a high-impact platform.

Key Responsibilities

• Lead the design and delivery of end-to-end AI solutions
• Build and deploy LLM-powered systems(RAG, agents, orchestration)
• Develop scalable APIs, services, and data pipelines
• Design retrieval and ranking systemsfor accurate outputs
• Establish AI evaluation, testing, and quality frameworks
• Ensure solutions are secure, reliable, and cost-efficient
• Mentor engineers and contribute to technical leadership

Lead AI Engineer

Build real-world AI at scale

We’re partnering with a fast-growing organisation in the digital identity and data space, delivering intelligent, data-driven products used in real-world environments.

They’re seeking a Lead AI Engineerto drive the design, development, and delivery of production-grade AI solutions - combining technical leadership with hands-on engineering.

This is a rare opportunity to work with modern LLM architecturesand shape how AI is built, deployed, and scaled across a high-impact platform.

Key Responsibilities

• Lead the design and delivery of end-to-end AI solutions
• Build and deploy LLM-powered systems(RAG, agents, orchestration)
• Develop scalable APIs, services, and data pipelines
• Design retrieval and ranking systemsfor accurate outputs
• Establish AI evaluation, testing, and quality frameworks
• Drive LLMOps practices(monitoring, performance, optimisation)
• Ensure solutions are secure, reliable, and cost-efficient
• Mentor engineers and contribute to technical leadership

Skills & Experience

• Proven experience building production-grade software systems
• Strong hands-on experience with LLMs / GenAI technologies
• Expertise in backend development(APIs, microservices, data systems)
• Experience with RAG, prompt design, or agent-based workflows
• Strong understanding of system performance, scalability, and reliability
• Experience with AI evaluation and quality improvement
• Excellent communication and stakeholder engagement skills

Nice to Have

• Experience with search / retrieval systems or vector databases
• Knowledge of AI cost optimisation techniques
• Exposure to secure or data-sensitive environments
• Background in SaaS or data-rich platforms

What’s on Offer

• Opportunity to lead and shape AI capability
• Work with cutting-edge AI technologiesin production
• Collaborative and high-performing team environment
• Flexible / hybrid working arrangements
• Strong focus on innovation, impact, and growth

If you’re a hands-on AI leader looking to build impactful solutions at scale, we’d love to hear from you.