Company
Technology
SoftwareEngineer,AIProduct
Neural analysis suggests this role is
optimal for Senior candidates.
“Software Engineer, AI Product. Skills: LLMs, prompt engineering, RAG, full-stack applications, evaluation frameworks. Design, build, and deploy AI-powered product features leveraging LLMs to enhance user workflows and deliver customer value. Integrate generative AI capabilities into existing systems, including backend services, APIs, and full-stack applications. Develop and maintain evaluation frameworks, guardrails, and monitoring systems to ensure AI system reliability and quality. Collaborate”
What You'll Achieve.
deliver customer value. continuously refine and improve AI-driven experiences. Make pragmatic engineering trade-offs balancing performance, scalability, user experience, and business priorities.
Industry & Context.
pragmatic engineering trade-offs
Location: Canada
What They're Looking For.
Must Have
7+ years of professional software engineering experience. Proven experience building and shipping LLM-powered or AI-native products. understanding of prompt engineering, RAG (retrieval-augmented generation), and/or agent-based AI systems. Experience designing and scaling full-stack applications, including backend systems, APIs, and frontend interfaces. Familiarity with modern web technologies such as TypeScript, React, and Node. js (or ability to quickly learn them). Experience building evaluation frameworks for AI systems and improving model performance through iteration.
Nice to Have
product mindset with the ability to collaborate closely with product and design teams. Experience working in fast-paced, high-growth environments with a bias toward execution and iteration. communication and mentoring skills with a collaborative, hands-on engineering approach.
What You'll Do.
Design, build, and deploy AI-powered product features leveraging LLMs to enhance user workflows and deliver customer value.
Integrate generative AI capabilities into existing systems, including backend services, APIs, and full-stack applications.
Develop and maintain evaluation frameworks, guardrails, and monitoring systems to ensure AI system reliability and quality.
Collaborate with AI platform and product engineering teams to improve foundational AI infrastructure and tooling.
Analyze user behavior and product usage to continuously refine and improve AI-driven experiences.
Make pragmatic engineering trade-offs balancing performance, scalability, user experience, and business priorities.
Mentor engineers and contribute to a engineering culture focused on ownership, collaboration, and execution.
Engage directly with users and stakeholders to better understand product needs and translate them into technical solutions.
How You'll Work.
Team & Collaboration
Collaborate with AI platform and product engineering teams. Engage directly with users and stakeholders. communication and mentoring skills with a collaborative, hands-on engineering approach.
Communication Scope
communication skills
Full Job Description
## Accountabilities Design, build, and deploy AI-powered product features leveraging LLMs to enhance user workflows and deliver customer value. Integrate generative AI capabilities into existing systems, including backend services, APIs, and full-stack applications. Develop and maintain evaluation frameworks, guardrails, and monitoring systems to ensure AI system reliability and quality. Collaborate with AI platform and product engineering teams to improve foundational AI infrastructure and tooling. Analyze user behavior and product usage to continuously refine and improve AI-driven experiences. Make pragmatic engineering trade-offs balancing performance, scalability, user experience, and business priorities. Mentor engineers and contribute to a strong engineering culture focused on ownership, collaboration, and execution. Engage directly with users and stakeholders to better understand product needs and translate them into technical solutions. Requirements: 7+ years of professional software engineering experience. Proven experience building and shipping LLM-powered or AI-native products. Strong understanding of prompt engineering, RAG (retrieval-augmented generation), and/or agent-based AI systems. Experience designing and scaling full-stack applications, including backend systems, APIs, and frontend interfaces. Familiarity with modern web technologies such as TypeScript, React, and Node.js (or ability to quickly learn them). Experience building evaluation frameworks for AI systems and improving model performance through iteration. Strong product mindset with the ability to collaborate closely with product and design teams. Experience working in fast-paced, high-growth environments with a bias toward execution and iteration. Strong communication and mentoring skills with a collaborative, hands-on engineering approach. Benefits: Competitive salary ($215,000–$260,000 USD equivalent) plus equity package. Comprehensive medical, dental, and vision coverage, including de
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