Senior AI Product Engineer - LLM & Full-Stack Career

Intersog; United States; Remote; USD 78,000 - 113,000; Full time

Job summary

Intersog is seeking an AI Product Engineer to design, build, and deliver production-ready AI-powered products from end to end—spanning databases, backend systems, and intuitive user interfaces.

You will work extensively with AI coding and design agents, own product quality, and shape how we develop and deliver software using AI. This is a remote, Canada-facing role with strong emphasis on ownership and end-to-end delivery.

Qualifications

• 5+ years building and shipping production web apps end-to-end.
• Advanced experience with AI coding agents and parallel workflows.
• Strong full-stack skills in TypeScript and PostgreSQL.
• UX/UI design skills and design system experience.
• Experience delivering LLM-powered features in production.
• Understanding of AI evaluations and prompt-injection risks.
• Experience with infrastructure as code, CI/CD, monitoring, and security practices.

Responsibilities

• Build and ship AI-powered web products using AI coding agents.
• Develop scalable full-stack applications using TypeScript and PostgreSQL.
• Design intuitive, accessible interfaces and maintain design systems.
• Implement AI features, including tool-using agents, evaluations, and prompt-injection safeguards.
• Manage CI/CD, infrastructure, monitoring, security, and production reliability.
• Collaborate on product specifications, release frequently, and improve products based on user feedback.

Skills

AI coding agents

Full-stack development

TypeScript

UX/UI design

Tools

TypeScript

PostgreSQL

CI/CD

Job description

Market Positioning: CAD $110K–$160K for a senior AI Product Engineer in Canada is competitive and reflects the current premium on LLM/AI production experience. For comparison, similar roles in Toronto or Vancouver typically range CAD $120K–$180K at top tech firms, so this sits slightly below top-of-market but reasonable for a broad Canadian remote role.

Skills Yourself Build: This role is a rare opportunity to deepen expertise across the full AI product stack — not just model integration, but agent orchestration, prompt-injection security, and AI evaluation frameworks. These are among the fastest-growing and highest-paying skills in software engineering right now.

• Production LLM deployment and AI agent workflows
• AI security (prompt injection, structured output validation)
• UX/UI design systems — a differentiator for engineers

Culture Signals: The emphasis on ownership, frequent releases, and AI-native workflows suggests a small, high-agency team — likely an early-stage startup or lean product studio. Expect autonomy and broad responsibility rather than deep specialization.

Green Flags: Clear salary transparency, portfolio-based hiring, and technically specific requirements signal a serious, engineering-led culture. The application process (asking about real AI challenges solved) filters for genuine practitioners over resume-padders.

Red Flag to Watch: No mention of benefits, PTO, or team size — worth asking about during the interview process.

We are looking for an AI Product Engineer to design, build, and deliver production-ready AI-powered products from end to end — from databases and backend systems to intuitive user interfaces.

You will work extensively with AI coding and design agents, take ownership of product quality, and help shape how we develop and deliver software using AI.

Key Responsibilities

• Build and ship AI-powered web products using AI coding agents and modern development practices.
• Develop scalable full-stack applications using TypeScript and PostgreSQL.
• Design intuitive, accessible interfaces and maintain consistent design systems.
• Implement AI features, including tool-using agents, structured outputs, evaluations, and prompt-injection safeguards.
• Manage CI/CD, infrastructure, monitoring, security, and production reliability.
• Collaborate on product specifications, release frequently, and improve products based on user feedback.

Requirements

• 5+ years of experience developing and shipping production web applications end to end.
• Advanced experience with AI coding agents, including executable specifications, parallel agent workflows, isolated environments, automated testing, code review, and cost management.
• Strong full-stack engineering skills in TypeScript and PostgreSQL, including data modeling, migrations, multi-tenant architecture, authentication, APIs, and background jobs.
• Strong UX/UI design skills, including design systems, accessibility, and user testing.
• Experience delivering LLM-powered features in production.
• Understanding of AI evaluations, prompt-injection risks, and secure AI application development.
• Experience with infrastructure as code, CI/CD, monitoring, backups, and security best practices.
• A portfolio demonstrating products and interfaces you have designed and built.

Nice to Have

• Python.
• Serverless and edge platforms.
• Legacy software modernization.

Salary Range: CAD $110,000–$160,000 annually, depending on experience and qualifications.

Is this AI Product Engineer role fully remote? The posting does not specify an office location and lists Canada as the hiring region, strongly suggesting a remote position. You should confirm the exact remote policy directly with the employer during the application process. What is the salary range for this position? The role offers CAD $110,000–$160,000 annually, depending on experience and qualifications. What AI-specific experience is required? Candidates need advanced experience with AI coding agents (including parallel agent workflows and isolated environments), production LLM feature delivery, and understanding of AI evaluations and prompt-injection risks. What should I include in my application? Submit your resume, a link to a product, repository, or case study showcasing your work, and a short note describing how you use AI coding agents and one AI feature you shipped to production along with a challenge you resolved. Is Python required for this role? Python is listed as a "nice to have" skill, not a hard requirement. The core technical stack focuses on TypeScript and PostgreSQL.