Applied AI Engineer, Air

• 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

• 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

• 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

Total funding: $70.5m

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.