Technical Product Owner & AI Engineer

Intermediate Technical Product Owner & AI Engineer

Location: On-site (Rosebank) 

Employment Type: Full-time 

Experience Level: Intermediate (3-6 years) 

Department: AI Delivery Team

About the Role

We're looking for an Intermediate Technical Product Owner & 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

Product Ownership

• Own and drive product outcomes from discovery through to delivery


• Define problem spaces — understand client needs, map domains, identify constraints, and figure out where the real problems are hiding


• Translate business and user needs into clear technical requirements and product backlogs


• Define product roadmaps, success metrics, and delivery priorities


• Facilitate refinement sessions, planning, and stakeholder alignment


• Make pragmatic trade-offs between scope, quality, time, and technical complexity


• Act as the bridge between engineering, business, and AI capabilities — earning trust in client meetings and translating complex technical possibilities into business language

AI Engineering (Hands-on)

• 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

• 3-6 years experience across product ownership, engineering, or technical delivery


• Proven experience owning or co-owning product outcomes


• Strong hands-on software development experience — you've built systems that solve real problems, not tutorial projects

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

• Engineering background from any discipline — 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 — real constraints, real coordination, real consequences


• Exposure to data engineering and ML pipelines, DL environments, including model development workflows and basic MLOps practices (e.g. training, evaluation, and deployment)


• 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.