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AI Applied Engineer

  • Canada

Full-time

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Job details

Job type
Full-time
Experience
U ARE2 to 5 years of experience building and shipping real products in small
Posting language
English
Posted

Original job description

Applied AI Engineer

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.v

c
IDEAL CANDIDA

TEThe 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 directio

n.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 way

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

s.
THE OPPORTUN

ITYElevation Capital is building an AI-first operating layer across the business to eliminate manual work and increase speed across every te

am.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 organizati

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

ss.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 iterati

on.
WHAT YOU’L

  • L DODesign and build AI-powered internal tools from concept to produc
  • tionDevelop LLM-driven workflows for interview intelligence, summarization, and decision sup
  • portBuild and ship cross-platform mobile applications using React Na
  • tiveDevelop backend systems and APIs to support AI workflows and real-time data proces
  • singBuild and deploy RAG pipelines and integrate vector-based retrieval sys
  • temsDevelop voice agents and real-time AI interfaces where applic
  • ableIdentify manual workflows across teams and replace them with scalable automa
  • tionOwn projects end-to-end, including architecture, implementation, and itera

tion
WHO YO

  • U ARE2 to 5 years of experience building and shipping real products in small
  • teamsStrong Python skills with the ability to build production-ready sy
  • stemsHands-on experience working with LLMs in real applica
  • tionsComfortable working across the stack when n
  • eededHigh ownership mindset with minimal need for dire
  • ctionAble to operate effectively in fast-moving, evolving environ

ments
TECH

STACKFrontend and

  • MobileReact Native (iOS and An
  • droid)React and N
  • ext.jsThree.js and

WebGLBackend an

  • d APIsPython (pr
  • imary)FastAPI or
  • DjangoN
  • ode.jsREST and G

raphQLAI a

  • nd LLMRAG pip
  • elinesLLM orchestration fram
  • eworksVector dat
  • abasesReal-time voice s

ystemsData and Infrastr

  • uctureMicrosoft Fabric and
  • AzureETL pipelines a
  • nd SQLDocker and Azure Containe
  • r A

ppsGit
REQUI

  • REMENTSDegree in Computer Science, Software Engineering, or equivalent practical exp
  • erienceProven experience shipping production-level appli
  • cationsStrong Python skills (will be as
  • sessed)Experience building and deploying applications (mobile
  • or web)Demonstrated ability to independently solve problems and deliver working

systems
WHAT WILL SET Y

  • OU APARTExperience with RAG pipelines or vector d
  • atabasesExperience with voice or real-time AI
  • systemsBackground building internal tools or automation
  • systemsStrong portfolio of shipped projects (professional or p

ersonal)
COM

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

company.
More about this job

Responsibilities

Design, build, and deploy production-ready AI tools, mobile applications, backend systems, LLM workflows, RAG pipelines, and voice interfaces. Identify manual processes across the business and own their automation from initial architecture through implementation and iteration.

Requirements

Requires 2–5 years of experience shipping production applications, strong Python skills, hands-on experience applying LLMs, and the ability to work across the stack. Candidates must be able to solve problems independently in a fast-moving environment; a computer science or software engineering degree, or equivalent practical experience, is required.

Skills

  • Python
  • Large Language Models
  • React Native
  • React
  • Next.js
  • FastAPI
  • Django
  • Node.js
  • Retrieval-Augmented Generation
  • Vector Databases
  • Voice Agents
  • REST APIs
  • GraphQL
  • Microsoft Fabric
  • Azure
  • Docker

Benefits

  • Health Coverage
  • Career Growth Opportunities

Visa sponsorship

Not detected in the job text

Categories

  • Software
  • Technology
  • Engineering
  • Data & Analytics

Keywords

  • Applied AI
  • Python
  • Large Language Models
  • React Native
  • React
  • Next.js
  • Three.js
  • WebGL
  • FastAPI
  • Django
  • Node.js
  • REST
  • GraphQL
  • Retrieval-Augmented Generation
  • LLM Orchestration
  • Vector Databases
  • Voice Agents
  • Real-Time AI
  • Microsoft Fabric
  • Azure
  • ETL Pipelines
  • SQL
  • Docker
  • Azure Container Apps
  • Internal Tools
  • Workflow Automation
  • Mobile Applications
  • Backend Systems
  • Data Pipelines
  • Production Applications

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