AI Engineer

AI Engineer

Location:

On-site (Rosebank)

Employment Type:

Full-time

Experience Level: Intermediate-Senior

Department: AI Delivery Team

We're looking for an AI Engineer who works at the intersection of product strategy, hands-on engineering, and applied AI - and who understands that most of the value gets created before any code exists.

This role is for someone who doesn't just design solutions on a whiteboard - you define the problem space, hunt for the unlock nobody else has seen, design reusable solutions, and orchestrate AI agent teams to execute 'll own product outcomes end-to-end while actively building, prototyping, and evolving intelligent systems that solve real business problems.

You'll work closely with engineers, designers, stakeholders, and clients to translate ambiguous, messy, real-world problems into clear product direction and production-ready AI solutions. You won't wait for a well-scoped ticket. You'll walk into ambiguity and create structure through clear thinking and action.

• Design, build, and maintain agentic AI systems (multi-step reasoning, tool use, orchestration, memory, autonomy)
• Orchestrate purpose-built agent teams — design how agents coordinate, what information flows where, and how parallel work streams converge into coherent output
• Design reusable solution patterns — recipes and mapping functions that apply repeatedly within and across problem spaces
• Write clean, production-quality code to implement AI-driven features
• Build prototypes and proof-of-concepts quickly, then harden them for production
• Integrate LLMs, APIs, vector databases, tools, and external systems
• Implement evaluation, monitoring, and iteration strategies for AI systems
• Stay current with emerging AI patterns, frameworks, and best practices — our methods evolve fast, and you'll help shape them

• Work closely with engineers to shape architecture and implementation decisions
• Review code and technical designs with a product-focused mindset
• Balance innovation with maintainability, scalability, and security
• Advocate for responsible, ethical, and user-centred AI usage
• Iterate on plans and ideas in the abstract before dropping into execution — challenge your own framing, stress-test approaches, ask better questions

• Proven experience in AI development
• 3-6 years experience in Engineering or Technical delivery/Software Development
• Engineering degree from any discipline is a major plus — mechanical, civil, electrical, industrial, chemical. Engineering teaches you how to think: systems, first principles, constraints, trade-offs, decomposition. Experience in industries where things get built physically: construction, mining, manufacturing, energy, infrastructure.
• Strong hands-on software development experience - you've built systems that solve real problems, not tutorial projects
• Exposure to data engineering and ML pipelines, DL environments, including model development workflows and basic MLOps practices (e.g. training, evaluation, and deployment)

• Strong programming fundamentals (Python or similar preferred, but demonstrated problem-solving in any modern language)
• Experience building with LLMs and agentic frameworks (e.g. Lang Chain, Lang Graph, CrewAI, Auto Gen, custom agent architectures)
• Experience designing workflows involving:
  Tool calling and orchestration
• Memory and context management
• Multi-agent or multi-step reasoning

• Comfortable with APIs, cloud services, and modern application architectures
• Understanding of software quality, testing, and production readiness
• AI tooling, agentic workflows, and orchestration patterns are a strong plus — but developable if your foundation and drive are right. We coach…