About Fluent Software Group Fluent Software Group is part ofValsoftCorporation’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 unlockingnew resources, technology, and proven operational playbooks that fuel sustainable, long-term growth. The Mission 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, industryexpertise, existing infrastructure, and revenue tovalidateagainst—without starting from zero. The Opportunity 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. The MindsetWe’reHiring For 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. WhatYou’llDo 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. Partner with portfolio company R&D teams to take validated prototypes intoproduction—translating your fast-build into their architecture, standards, and infrastructure. Participate in customer demos and POCs alongside your Ventures Lead, providing technical depth and fielding implementation questions. Technical Skills You’re a full-stack generalist who can wire together an entire working product solo. Wedon’tneed depth in every layer—we need someone who can go end-to-end, fast. Full-Stack Fundamentals Comfortable building end-to-end: modern frontend frameworks (React, Vue.js, TypeScript), server-side development (Node.js, Python, or C#/.NET), REST/GraphQLAPIs, and relational databases (PostgreSQL, MySQL). Youdon’t need to be an expert in every layer, but you need to be able to stand up a working,demoableproduct without waiting on another team. AI & Agentic Development Hands-on experience integrating AI model APIs (OpenAI, Anthropic, Gemini, Azure Cognitive Services) into real products—not just toy projects. Experience building agentic workflows: multi-step AI agents using function calling, tool use, and orchestration frameworks (LangChain,CrewAI,AutoGen, Semantic Kernel). Strong RAG skills: building pipelines that ground AI in domain-specific customer data using vector databases (Pinecone,Weaviate) and embedding models. Fluency in prompt engineering, token/cost management, and latency tradeoffs inproductionAI features. Tools & Velocity Proficiencywith AI-enhanced development tools (Cursor, Windsurf, Claude Code,bolt.new, v0,Replit)—and the instinct to adoptwhatever’snext. Git, CI/CD, and agile workflows. You ship, you iterate, youdon’tover-process. Qualifications 1–4 years of professional experience in software engineering, applied AI, or product development—but whatyou’vebuilt matters more than tenure. Demonstrated ability to take an idea from concept to working prototype independently. Deep fluency in the AI tooling ecosystem—and the habit of staying current. You know about new releases before anyone asks you to look. Clearcommunicator whocan explain technical decisions to non-technical stakeholders and collaborate effectively with engineers across teams. A track recordof self-directed work: side projects, open-source contributions, hackathon wins, or entrepreneurial ventures carry significant weight. Bonus: experience in SaaS, vertical market software, or early-stage startup environments. What This Role Is Not This is not a role whereyou’llpick up fully scoped tickets from a backlog.There’sno establishedplaybookand the requirements will often be ambiguous. Youwon’tbeheads-downona single productformonths—you’llmove between ideas quickly as the teamvalidatesand iterates. If you needheavystructure or prefer deep specialization over breadth and speed, thisisn’tthe right fit. If that excites you—keep reading. Why Fluent Growth-track role: Prove yourself as an engineer and grow into technical leadership as the products and team scale. Skin in the game: Compensation includes meaningful participation in the product’s success—because we want youbuildinglike an owner, not an employee. Built-in distribution:You’renotbuilding forhypothetical users. Fluent’s portfolio gives you real customers, real data, and real feedback from day one. Direct impact: Your prototypes will be in front of customers within days, not buried in a roadmap. Autonomy with support: You’llhave a Ventures Lead to set direction and clear obstacles, but how you build is up to you. AI-first culture: We’rebuilding a center of excellence around AI integration and are committed to responsible, value-driven adoption. Ifyou’drather build the demo than sit through the meeting aboutit—we want to talk to you. #WeSuite #FluentSoftware #J-18808-Ljbffr
Ai Product Engineer - Canada
VALSOFT CORPORATION
montreal (administrative region), montreal (administrative region)
Published 27 days ago
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