AI Applied Engineer

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.

Work arrangement
Yes