Senior AI Engineer

About the Position

We are seeking a Senior AI Engineer to join our global team and contribute to our AI-native product development. Our mission is to centralize all jobs available on the web into a single, seamless experience for job seekers and employers.

Headquartered in Montreal with a global team across North America, South America, and Europe, we’re investing in a new generation of AI-native products that will redefine how people find work and how employers find talent.

Responsibilities

• Execute engineering for our AI-native product - own your technical direction end-to-end.
• Build and integrate AI capabilities deeply into the product, including LLM-based generation, agentic workflows, evals, and the infrastructure that supports them in production.
• Ship fast. Take features from rough idea to in front of users with strong instincts for what to build, what to cut, and what to defer.
• Contribute to the foundational technical decisions - model selection, evaluation frameworks, data and inference pipelines, observability, and the trade-offs between latency, cost, and quality.
• Build the eval and observability layer that makes agentic decisions defensible to customer security, procurement, and legal teams.
• Sit in customer calls weekly. Translate customer signal directly into product.

Requirements

• Full-stack capable. You move comfortably across backend, frontend, and infra; you know when to specialize and when to glue things together.
• Shipped agentic LLM systems to paying enterprise customers - not prototypes, not internal demos. Real users, real workflows, real escalation paths.
• Made the “rewrite vs. keep” call on someone else’s in-flight codebase - and were right about it.
• Cleared a regulated procurement gate in production - security review, bias audit, compliance certification, or equivalent.

Nice to Have

• Experience with Python.
• Experience with Temporal (or comparable workflow orchestration platforms).
• Direct production experience with Anthropic, OpenAI, or other major model providers - including migrating between them.
• Built evals customers actually trust, not vanity dashboards.
• Background contributing to or shipping AI-native products in regulated industries (healthcare, financial services, hiring).
• Open source contributions or technical writing in the AI / ML space.

We Offer

• Join a team that operates as a startup inside the company with the same speed and autonomy as seed-stage.
• Work directly with the VP of Product, CPTO, and design-partner customers across healthcare, retail, residential manufacturing, BPO/contact center, and education.
• Be part of a company that fosters equity, diversity, and inclusion as an equal opportunity employer.

About the Company

At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. We offer a range of benefits that support your well-being and charge your professional growth.