𝗧𝗶𝘁𝗹𝗲: AI Product Engineer 𝗟𝗼𝗰𝗮𝘁𝗶𝗼𝗻: Remote (Montreal and/or in QC) 𝗖𝗼𝗺𝗽𝗮𝗻𝘆: GT Maritime (Valstone Portfolio)

𝗔𝗯𝗼𝘂𝘁 𝗚𝗧 𝗠𝗮𝗿𝗶𝘁𝗶𝗺𝗲

GT Maritime builds mission-critical maritime cybersecurity and communications software. Their 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: GT Maritime's software operates in environments where failure is not an option, and the engineering culture reflects that.

GT Maritime is a Valstone company. Valstone is an industrial software conglomerate that acquires and operates mission-critical software businesses across agriculture, logistics, food processing, bulk materials, and manufacturing — with 19 acquisitions completed across Canada, the USA, and the UK, and a long-term, buy-and-hold approach to building businesses, not exiting them. Valstone is part of the Valsef Group, alongside Valsoft (130+ acquisitions, $3B+ valuation), Permanent Corp, Valnet, and Valsef Capital.

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗥𝗼𝗹𝗲

This is a rare opportunity for an early-career engineer who has already been building with AI — someone who has shipped something real using LLM APIs or agentic frameworks and wants to do more of that, in a product that genuinely matters.

You will design and deliver AI-powered features into a new GT Maritime product, calling commercial AI APIs (Anthropic Claude, AWS Bedrock, OpenAI) inside a .NET stack. This is not a research role. You are integrating existing models into features that customers at sea rely on — and you will have real ownership over how that gets done.

This role suits someone earlier in their career who has the hunger to build, set patterns, and grow into a product engineering leader — not someone looking to manage a team from day one.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀

𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴

• Design and deliver AI-powered features by calling commercial AI APIs (Claude, AWS Bedrock, OpenAI) within a production .NET codebase
• Help set the integration patterns the team follows — architecture, observability, cost controls, and guardrails from day one
• Advocate for AI-assisted development tools (Claude Code, Cursor, or equivalent) through pair programming, code examples, and PR reviews

𝗤𝘂𝗮𝗹𝗶𝘁𝘆 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆

• Build AI features with logging, cost tracking, retries, and guardrails baked in from the start
• Design clean, versioned, observable RESTful APIs
• Ensure reliability in environments where software failure has real-world consequences

𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀

𝗠𝘂𝘀𝘁 𝗛𝗮𝘃𝗲

• 2+ years of hands-on, production software engineering experience or related environments
• Have built something real using LLM APIs or agentic frameworks — Claude, AWS Bedrock, OpenAI, MCP, LangGraph, or similar
• Use AI coding assistants (Claude Code, Cursor, Copilot) as a genuine part of your daily workflow — not occasionally
• Comfortable working in or learning C# / .NET Core — we care more about how fast you learn than what you already know
• RESTful API fundamentals and SQL basics
• Observability mindset — you don't ship something you can't monitor

𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗗𝗲𝘁𝗮𝗶𝗹𝘀

• Location: Remote (Montreal and/or in QC)
• Stack: C# / .NET Core + AI APIs
• Position type: Full-time, permanent
• Reports to: Engineering Lead