AI Engineer

AI Engineer

Location: On-site (Rosebank)

Employment Type: Full-time

Experience Level: Intermediate-Senior

Department: AI Delivery Team

About the Role

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 at scale. You'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.

What You'll Do

Hands-on AI Engineering

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 workstreams 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

Technical Collaboration

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

What We're Looking For

Core Experience

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)

Technical Skills

Strong programming fundamentals (Python or similar preferred, but demonstrated problem-solving in any modern language)

Experience building with LLMs and agentic frameworks (e.g. LangChain, LangGraph, CrewAI, AutoGen, 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 the specifics.

Product & Thinking Skills

First-principles problem-solving — you define the real problem, not the surface symptom

Comfortable working in ambiguity and evolving requirements — that's where the value is, not a reason to wait

Ability to explain complex technical concepts to non-technical stakeholders — in business terms, not jargon

Outcome-driven mindset — focused on value and impact, not tools and frameworks

Thinks in reusable patterns — not just solving this problem, but the class of problems it belongs to

Questions the question before answering it

Nice to Have

Consulting or client-facing delivery experience

Has worked across multiple industries or domains — the scenic route is a feature

Experience with UX research or discovery practices

Familiarity with compliance, privacy, or responsible AI principles

How You Work

You define the real problem before jumping to solutions — and you question the question before answering it

You are biased toward action, experimentation, and learning — fast. You treat decisions as experiments, not commitments

You're comfortable wearing multiple hats and switching contexts

You push back on bad ideas — including ours. You challenge assumptions and don't fold when someone says no

You collaborate deeply but can drive independently when needed

You care about building useful, well-crafted products that create real value — not impressive-sounding work that goes nowhere

You're curious, pragmatic, and hungry to learn. You figured things out by doing, not by completing courses

Why Join Us

Work on meaningful, real-world AI products — not demos

A high-trust environment with autonomy and ownership

Exposure to cutting-edge AI work while solving practical business problems

Collaborative, people-first culture

Opportunity to shape how we build and deliver AI-powered products

We're a software engineering firm becoming an AI company in real time. We need someone who wants to be in the room where that happens.