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GT

Artificial Intelligence Engineer

GTMaritime
Posted 4 days ago
🇨🇦Canada🏠Remote📁Engineering & Development
Is this job info correct?

Title: AI Product Engineer

Location: Remote (Montreal and/or in QC) — with periodic travel to GT Maritime's UK headquarters expected

Company: GT Maritime (Valstone Portfolio)


About GT Maritime

GT Maritime builds mission-critical maritime cybersecurity and communications software. Our platform runs on 16,000 vessels across 2,000 maritime companies worldwide, roughly a quarter of the world's non-navy fleet. At sea, reliability is not a nice-to-have. Our software operates where failure is not an option, and our engineering culture reflects that. We are ISO 27001 compliant because lives depend on what we ship, and we hold ourselves accountable for everything that goes out, whether it was written by a person or by AI.

GT Maritime is a Valstone company. Valstone acquires and operates mission-critical software businesses for the long term, buy-and-hold, not buy-and-flip. We are part of the Valsef Group alongside Valsoft, which has completed 130+ acquisitions at a $3B+ valuation on a proven operating playbook. That playbook is what we are applying here.

About the Role

This is a rare opportunity for an early-career engineer who has already been building with AI and wants to do far more of it, inside a product that genuinely matters. You will design and deliver AI-powered features into a new GT Maritime product, calling commercial AI APIs such as Anthropic Claude, AWS Bedrock and OpenAI inside a production .NET stack.

This is not a research role, and it is not a management role. It is a technical leadership track. You will own architecture and engineering decisions, set the patterns the team follows, and grow your influence through the quality of what you build rather than the size of a team you run.

What sets this role apart is commercial instinct. We want someone who thinks like an operator, not just a coder. You should care why a feature matters to a customer at sea, what it costs to run, how quickly it lands, and whether it moves the business forward. You will not own a P&L, but you will make decisions with the business impact in full view.

What You'll Do

  • Design and deliver AI-powered features by calling commercial AI APIs within a production .NET codebase.
  • Set the integration patterns the team follows, covering architecture, observability, cost controls and guardrails from day one, using Microsoft Agent Framework and Amazon Bedrock.
  • Build features with logging, cost tracking, retries, compliance and guardrails baked in from the start, because you do not ship what you cannot monitor.
  • Design clean, versioned, observable RESTful APIs, and reason confidently about service boundaries in a distributed microservices architecture.
  • Advocate for AI-assisted development tools such as Claude Code and Cursor through pair programming, worked examples and PR reviews.
  • Ensure reliability in environments where software failure has real-world consequences.

What We're Looking For

Must have

  • 2+ years of hands-on production software engineering experience.
  • Something real you have built and shipped using LLM APIs or agentic frameworks, such as Claude, AWS Bedrock, OpenAI, MCP or LangGraph.
  • AI coding assistants as a genuine part of your daily workflow, not an occasional experiment.
  • A working understanding of distributed systems and microservices, service boundaries, and the failure modes that come with them.
  • RESTful API fundamentals, SQL basics and an observability mindset.
  • Comfort working in, or quickly learning, C# / .NET Core. We care more about how fast you learn than what you already know.

The kind of person who thrives here

  • Hungry, accountable and high-ownership, the sort who treats the product as if it were their own.
  • Commercially curious, drawn to the impact of the work rather than only the elegance of the code.
  • Ready to thrive in a fast-paced, start-up-style pod with the backing of an established operator behind you.

Practical Details

  • Location: Remote (Montreal and/or QC), with periodic travel to the UK.
  • Stack: C# / .NET Core plus commercial AI APIs.
  • Position type: Full-time, permanent.
  • Reports to: Engineering Lead.
  • Authorised to work in Canada.


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