Applied AI Engineer

Elevation Capital•Vancouver, BC

10d

About The Position

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.

Requirements

Degree in Computer Science, Software Engineering, or equivalent practical experience
Proven experience shipping production-level applications
Strong Python skills (will be assessed)
Experience building and deploying applications (mobile or web)
Demonstrated ability to independently solve problems and deliver working systems

Nice To Haves

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)

Responsibilities

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