Location: REMOTE / Montreal, Quebec This job allows you to work remotely. Our mission is to centralize all jobs available on the web — from company career sites, staffing agencies, and job boards — into a single, seamless experience for job seekers and employers. We're building a product where AI isn't a feature bolted on the side — it's woven through every layer, from how the product is generated to how users experience it.

We're looking for a Founding Engineer to take technical ownership of what's been built so far and lead it through its next chapters: shipping, scaling, and growing the team behind it. Own the product surface end-to-end — from the FastAPI routers and services on the backend to the customer-facing UI Next.js on the frontend. ~- Define how an AI-native team works and prove it by shipping. Establish the agent workflows, repo conventions, and review practices that let a small team with coding agents outship a much larger one; Keep the codebase agent-legible: operating rules, architecture boundaries, and eval suites that make the repo as productive for agents as it is for humans — this is infrastructure here, not documentation hygiene. ~- Choose and stand up the frontend stack.

You'll make the framework call (React, Next.js, Svelte — your recommendation, your rationale), establish the patterns, and build the foundation the team ships on. ~- Build agentic, AI-native features end-to-end: surface LLM-generated decisions, evals, and rationale in interfaces that HR, hiring managers, and new hires trust. ~- Build the dashboards and workflows on top of Talia's data — hire pipelines, manager checklists, mentor assignments, attrition signals, cost and impact views. ~- Write production Python: async SQLAlchemy 2.0 / asyncpg / Postgres, Pydantic schemas, and the Temporal-orchestrated workflows behind the product experience. ~* Ship fast. Make AI behavior legible to non-technical users — turn agentic decisions into UI that customers, and their compliance teams, can understand and act on. ~- Sit in customer calls.



Translate customer signal directly into product, in the same week. ~- Hold the quality bar the codebase already sets — robust typing, enforced architecture boundaries, and high test coverage — on both sides of the stack. ~- Help interview and mentor future hires as the team grows; set the frontend standards from day one. ~- Sit in customer calls.

Translate customer signal directly into product, in the same week. ~- Hold the quality bar the codebase already sets — strong typing, enforced architecture boundaries, and high test coverage — on both sides of the stack. ~- Help interview and mentor future hires as the team grows; set the frontend standards from day one. You've shipped production features that you built from the database to the pixel, and you're equally credible in both places. -Made a greenfield frontend-architecture call and lived with it — picked the framework and patterns, and were right enough that the team built on it happily. -Strong Python on the backend — async web services (FastAPI, or Django/Flask with async), real ORM and database work, not just glue code. -Strong modern frontend — a current component framework (React, Next.js, Svelte, Vue, or similar), state management, and an eye for UX and accessibility. -Shipped product on top of an LLM or agentic system to real users — surfacing model output, handling latency and uncertainty, designing for when the AI is wrong. -You care about the seams — typing, tests, and clean boundaries — even under startup speed. -Excellent communicator who can translate between technical and non-technical audiences.

Experience with Python and FastAPI specifically. ~- Direct production experience with Anthropic, OpenAI, or other major model providers — including streaming responses and designing for agentic UX. ~- Built evals or AI-transparency interfaces customers actually trust, not vanity dashboards. ~- Background shipping AI-native products in regulated industries (healthcare, financial services, hiring). ~- Open source contributions or technical writing in the web / AI space. #

📌 Senior AI-Native Full-Stack Engineer (Mississauga)
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📍 Mississauga