Applied AI Engineer

Air is a Creative Ops System for creative teams. Our product automates the mindless tasks that creatives and marketers do every day to manage content and unlocks creativity through image recognition, automated versioning, and approval workflows. We launched in March 2021 and have raised +$70m from world-class venture capital groups including Avenir, Tiger Global, Headline Ventures, Lerer Hippeau, WndrCo, and Slack Ventures.

The Role

Help shape the future of creative work as our first Applied AI Engineer.

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. If you thrive in fast-paced, unstructured environments and love solving challenging problems, this is the role for you.

To help us filter genuine candidates, include the code AIR-ENG-2025 in the designated field of the application form.

• 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