Applied AI Engineer, Air

$160-264k

React

AWS

Docker

Kubernetes

TypeScript

GCP

Python

Kafka

Elasticsearch

Airflow

Tensorflow

Azure

Spark

Lucene

PyTorch

Semantic

Sagemaker

Git

Electron

Senior and Expert level

Remote in US

Cloud-based storage for images and videos

Open for applications

Cloud-based storage for images and videos

101-200 employees

B2BData storageInternal toolsDesign

Open for applications

$160-264k

React

AWS

Docker

Kubernetes

TypeScript

GCP

Python

Kafka

Elasticsearch

Airflow

Tensorflow

Azure

Spark

Lucene

PyTorch

Semantic

Sagemaker

Git

Electron

Senior and Expert level

Remote in US

101-200 employees

B2BData storageInternal toolsDesign

Company mission

To make creativity easy, fast and fun. Air rethink traditional cloud storage, and make it easier for companies to get from a brainstorm to the final deliverable.

Job

Company

Role

Who you are

6+ years working in a production application with real-world users
3+ years in an applied AI/ML supporting role
Experience collaborating with cross-functional teams (engineers, data scientists, product managers) and providing technical leadership
Demonstrates ability to research, architect, deploy, and maintain complex AI/ML systems at scale
Deep experience with semantic and vector search techniques leveraging a search engine (Elasticsearch, Lucene, Solr, etc)
Proven track record of evaluating, implementing, and leveraging both open-source and hosted AI solutions
A strong background in the following:
Python for ML development and tooling with deep learning frameworks (PyTorch, TensorFlow)
Advanced ML Ops practices (Docker/Kubernetes, AWS SageMaker, MLflow)
CI/CD pipelines and version control best practices (Git & GitHub)
Familiarity with some or all of the following:
Vector databases (Pinecone, Weaviate)
Major open-source and hosted AI providers (OpenAI, AWS Bedrock, Hugging Face, LangChain, etc)
Large-scale data pipeline tools (Airflow, Kafka, Spark)
Cloud platforms (AWS, GCP, Azure)
Distributed systems including event-driven and service-oriented architectures

What the job involves

At Air, we’re redefining how creative teams organize and access their work
As an experienced AI Engineer, you’ll play a pivotal role in building intelligent systems that power our platform, delivering cutting-edge search and discovery capabilities to teams worldwide
You’ll join a talented team of engineers and work closely with our cofounders, marketing, and other cross-functional teams
You’ll have the opportunity to lead initiatives that make a significant impact, from researching, architecting, and deploying complex AI/ML systems to leveling up engineers on those systems
We work almost entirely in TypeScript
Our web app is built in React, desktop app in Electron, and backend in Node
We’re built on AWS, so familiarity with their product suite is a major plus
Additionally, deep experience with semantic and vector search, Elasticsearch, and working with, modifying, and deploying custom AI/ML solutions is essential
Familiarity with major open-source and hosted AI providers will set you up for success in this role
Critical to this role is the ability to have long-term focus, strong communication skills, and a deep awareness of creative trends and competitive dynamics

Our take

Every day, marketers waste countless hours organizing, finding, approving, and sharing content — this mindless work gets in the way of the creative process. Air's product automates these tasks, giving creators back time to do what they do best: create.

Air works as a cloud collaboration platform that negates the need to move items to and from the cloud when working with visual content. Teams can use the platform to search, review, and manage all their content in one place. Users can migrate their content from Dropbox or hard drives, and once all assets are in Air, the platform automates the work and keeps the library organized.

Air's 2022 round of funding from Tiger Global Group and Headline is being used to build out more product features and expand the team. Further, over recent years that has been a rapid surge in the cloud collaboration market, which is forecast to surpass $50 billion by 2025. Air is therefore operating well in a market that is expected to see significant growth.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 6 rounds)

Jan 2025

$35m

SERIES B

Jan 2022

$10m

EARLY VC

Total funding: $70.5m

Company benefits

Air contributes 90% to medical, dental, and vision insurance and 75% to dependent coverage
Employees also have life insurance, disability insurance, and membership to One Medical
401k program
Commuter benefits
Generous work from home stipend
Professional development reimbursement
Unlimited vacation days

Company HQ

Gowanus, NY

Leadership

Shane Hegde

(CEO & Co-Founder)

Studied Science at Stanford. Co-Founder & CEO of Swap Mobile. An Investor at HPS Investment Partners. Chief Digital Strategist at REVOLT MEDIA & TV.

Tyler Strand

(CTO & Co-Founder)

Studied Computer Science at Stanford. Co-founder & CEO of hostess.fm. Worked for over a year at Beatport, from Product Manager to Director of Product. Was Partner & Director of Product Management at Postlight.

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