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Elevation Capital
Applied AI EngineerElevation Capital • Toronto, Canada
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Applied AI Engineer

Applied AI Engineer

Elevation Capital • Toronto, Canada
7 days ago
Job type
  • Full-time
Job description
Elevation Capital is a group of internationally impactful companies spanning consumer packaged goods, hospitality, technology, real estate, non-profit, and venture funding. Run by a highly entrepreneurial self-made founder, and supported by a team of highly capable executives across business units, the business operates globally with interests in the US, Canada, Europe, and the Caribbean. With wholly owned companies in various growth stages and an expanding investment portfolio, this group collectively serves a global vision to create an evolved world where humanity reaches its highest potential. Our mission is to create and deploy capital for a better world.

To learn more, please visit: elevationcapital.vc

IDEAL CANDIDATE The ideal candidate is an engineer who has shipped real products in small, fast-moving teams and is comfortable owning problems end-to-end with minimal direction.

They combine strong technical fundamentals with a bias toward action and a track record of building systems that people actually use. They are comfortable working across the stack and are naturally drawn to applying AI in practical, high-impact ways.

This individual is self-directed, resourceful, and capable of moving from ambiguous problems to working solutions without waiting for detailed instructions.

THE OPPORTUNITY Elevation Capital is building an AI-first operating layer across the business to eliminate manual work and increase speed across every team.

As an Applied AI Engineer, you will design and build the systems that power this transformation. This includes intelligent mobile applications, AI-driven interview tools, voice agents, and data pipelines that connect and automate workflows across the organization.

Everything you build will be internal, proprietary, and deployed into production. You will see your work used in real time by teams across the business.

This is a hands-on, high-ownership role. You will work directly with the founding team to identify high-friction processes and replace them with scalable AI-driven systems. You will own projects end-to-end, from initial concept through deployment and iteration.

WHAT YOU’LL DO

Design and build AI-powered internal tools from concept to production

Develop LLM-driven workflows for interview intelligence, summarization, and decision support

Build and ship cross-platform mobile applications using React Native

Develop backend systems and APIs to support AI workflows and real-time data processing

Build and deploy RAG pipelines and integrate vector-based retrieval systems

Develop voice agents and real-time AI interfaces where applicable

Identify manual workflows across teams and replace them with scalable automation

Own projects end-to-end, including architecture, implementation, and iteration

WHO YOU ARE

2 to 5 years of experience building and shipping real products in small teams

Strong Python skills with the ability to build production-ready systems

Hands-on experience working with LLMs in real applications

Comfortable working across the stack when needed

High ownership mindset with minimal need for direction

Able to operate effectively in fast-moving, evolving environments

TECH STACK Frontend and Mobile

React Native (iOS and Android)

React and Next.js

Three.js and WebGL

Backend and APIs

FastAPI or Django

Node.js

REST and GraphQL

AI and LLM

LLM orchestration frameworks

Data and Infrastructure

Microsoft Fabric and Azure

ETL pipelines and SQL

Docker and Azure Container Apps

Git

REQUIREMENTS

Degree in Computer Science, Software Engineering, or equivalent practical experience

Strong Python skills (will be assessed)

Experience building and deploying applications (mobile or web)

Demonstrated ability to independently solve problems and deliver working systems

WHAT WILL SET YOU APART

Experience with RAG pipelines or vector databases

Experience with voice or real-time AI systems

Background building internal tools or automation systems

Strong portfolio of shipped projects (professional or personal)

COMPENSATION This position offers a competitive salary based on experience, along with benefits including health coverage and opportunities for career growth in a rapidly expanding company.

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Applied AI Engineer • Toronto, Canada

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