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.