Senior AI-Native Full-Stack Engineer

GuruLink; Montreal (administrative region); Remote; CAD 140,000 - 180,000; Full time

Job summary

Talent.com is seeking a Founding Engineer to take technical ownership of an AI-native platform. You will ship end-to-end from FastAPI backends to customer-facing UI (Next.js/React) and establish the team’s workflows, architecture, and quality standards.

You’ll own frontend and backend decisions, design patterns, and a foundation for the team’s growth, while engaging with customers and translating feedback into product improvements in a fast-paced startup environment.

Qualifications

• Shipped full-stack features from DB to UI and can work across back and front-end
• Built greenfield frontend architecture decisions with clear reasoning and team buy-in
• Strong Python on the backend with async web services and ORM
• Strong modern frontend skills with React/Next.js/Svelte/Vue and good UX
• Experience shipping AI-native products or models to real users and handling latency

Responsibilities

• Own the product surface end-to-end from backend services to user-facing frontend
• Define and establish how an AI-native team works, shipping fast with rigorous reviews
• Keep codebase agent-friendly with architecture boundaries and strong tests
• Choose frontend stack, set patterns, and build a solid foundation for the team
• Build AI-enabled features and dashboards on data pipelines and HR workflows
• Participate in customer conversations and translate feedback into product improvements
• Maintain high-quality craftsmanship with strong typing and maintainable boundaries
• Mentor future hires and establish frontend standards from day one

Job description

Location: REMOTE / Montreal, Quebec This job allows you to work remotely.

Talent.com is one of the largest job search and recruitment platforms in the world, with over 35 million job listings across 78 countries and tens of millions of unique monthly visitors. 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.

This Role:

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.

You Will:

• - 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; what you set up becomes how every future hire operates.
• - 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. It's greenfield. 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. Take features from rough idea to in front of users, with strong instincts for what to build, what to cut, and what to defer.
• * 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 — 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.
• - 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.

Must Have Skills:

• -Genuinely full-stack. 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.
• -Product instincs. You can sit with a Head of Recruiting, hear the pain, and translate it into the codebase the same hour.
• -High bar for craft. 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.

Nice to Have Skills:

• Experience with Python and FastAPI specifically.
• - Experience with Temporal (or comparable workflow orchestration platforms).
• - 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).
• - Design-system or component-library experience; comfort owning the look and feel of a young product.
• - Open source contributions or technical writing in the web / AI space.