
AI Product Engineer
Aspire Software
full-time
Posted on:
Location Type: Hybrid
Location: Canada
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Job Level
Tech Stack
About the role
- Rapidly prototype AI-powered products and features: take a concept from your Ventures Lead and deliver a working, demoable solution 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 into production—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.
Requirements
- 1–4 years of professional experience in software engineering, applied AI, or product development—but what you’ve built 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.
- Clear communicator who can explain technical decisions to non-technical stakeholders and collaborate effectively with engineers across teams.
- A track record of 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
software engineeringapplied AIproduct developmentAPI integrationsRAG pipelinesvector databasesembedding modelsfunction callingtool useorchestration frameworks
Soft Skills
clear communicationcollaborationself-directed worktechnical depthproblem-solving