AI Product Engineer

About Fluent Software Group

Fluent Software Group is part ofValsoft

Corporation’s family of operatinggroups—a global leader inacquiringand growing vertical market software companies. We focus on specialized industries where deepexpertisetruly makes the difference.

At Fluent, we give founders and their teams a forever home—preserving their culture and momentum while unlocking new resources, technology, and proven operational playbooks that fuel sustainable, long-term growth.

We’rebuilding AI startups inside an established portfolio of vertical software companies—and we need engineers who can make ideasreal,fast.

Our mandate is to partner with Fluent’s existing businesses to create new AI-powered products and sell themintotheirverticalized customerbases—and once proven, expand beyond them. The starting point could be either:agentifyingan existing workflow that the business software already helpsfacilitatetoday, orbuildinga net-new product altogether. The through-line is simple—we’recreating customer value in one of two forms: helping themoperatemoreefficiently, orhelping them capture revenue opportunitiesthey’recurrently missing.

This is startup building with a cheat code: you get established customer relationships, industry expertise, existing infrastructure, and revenue tovalidateagainst—without starting from zero.

You’llwork alongside an AI Ventures Lead who owns customer discovery, product strategy, and the roadmap. Your job is to be the person who makes their ideastangible—taking a validated concept or rough direction and turning it into a working,demoableprototype in days.

This is a hands-on engineering role with real product influence.

You’renot just writing code tospec—you’llshapehow things get built, push back when an approachwon’twork, suggest better solutions,and make technical decisions on thefly.

You’llintegrate AI APIs, build agentic workflows, stand up full-stack prototypes, and partner with portfolio company R&D teams to move the best work into production.

This role is designed for someone who wants to grow into a technical leadership position. Build well, ship fast, and the scope expands with you.

Note
:
We do have offices in Montreal and Toronto. The role could require working at the office should you be located there. Otherwise, it is remote.

Skills can be learned. Mindsetcan’t. These are the traits that will make you successful here:

Builder Instinct: You’drather build than plan. When someone describes a problem, your brainimmediatelystarts architecting the solution.

You’rethe person who has a working version before the meeting ends.

Speed Over Perfection
:
You understand that a prototype that lands in front of a customer on Wednesday is worth more than a polished product next quarter. You ship, you learn, you iterate.

Self-Directed: Youdon’tneed detailed tickets to be productive. Give youa directionandyou’llfigure out the rest—choosing the right tools, making tradeoffs, and unblocking yourself without waiting for someone to tell you how.

Technically Curious: You’rethe first to know when a new modeldrops,a framework ships a breaking change, or a toolemergesthat changes the game. You stay on the frontier because youcan’thelp it.

Collaborative: You’llwork closely with your Ventures Lead and with R&D teams at each portfolio company. You communicate clearly, ask good questions, earn trust from engineers who know their product deeply, and raise your hand early when somethingisn’tworking.

Hungry: You want to build something that matters and grow your career fast. You see this as a launchpad—not a landing pad.

• Rapidly prototype AI-powered products and features: take a concept from your Ventures Lead and deliver a working,demoablesolution in 2–3 days.

• Build end-to-end: frontend, backend, API integrations, and database—whatever it takes to get a prototype in front of a customer.

• Integrate AI model APIs (OpenAI, Anthropic, Gemini, Azure) and build agentic workflows using function calling, tool use, and orchestration frameworks.

• Build RAG pipelines that ground AI in domain-specific customer data using vector databases and embedding models.

• Partn…