Description:

Air is a Creative Ops System for creative teams that automates mindless tasks and unlocks creativity through image recognition, automated versioning, and approval workflows.
The company launched in March 2021 and has raised over $70 million from notable venture capital groups.
The role of Applied AI Engineer involves shaping the future of creative work and building intelligent systems that enhance the platform's search and discovery capabilities.
The engineer will work closely with cofounders, marketing, and cross-functional teams, leading initiatives that significantly impact the organization.
Responsibilities include researching, architecting, and deploying complex AI/ML systems, as well as mentoring other engineers.
The tech stack primarily includes TypeScript, React for the web app, Electron for the desktop app, and Node for the backend, with AWS as the cloud provider.
Familiarity with semantic and vector search, Elasticsearch, and custom AI/ML solutions is essential.
The role requires strong communication skills, long-term focus, and an awareness of creative trends and competitive dynamics.
Candidates should include the code AIR-ENG-2025 in their application to filter genuine candidates.

Requirements:

Candidates must have 6+ years of experience working in a production application with real-world users.
A minimum of 3+ years in an applied AI/ML supporting role is required.
Experience collaborating with cross-functional teams and providing technical leadership is essential.
Candidates should demonstrate the ability to research, architect, deploy, and maintain complex AI/ML systems at scale.
Deep experience with semantic and vector search techniques using search engines like Elasticsearch, Lucene, or Solr is necessary.
A proven track record of evaluating, implementing, and leveraging both open-source and hosted AI solutions is required.
A strong background in Python for ML development and tooling with deep learning frameworks such as PyTorch and TensorFlow is needed.
Advanced ML Ops practices, including Docker/Kubernetes, AWS SageMaker, and MLflow, are essential.
Familiarity with CI/CD pipelines and version control best practices (Git & GitHub) is required.
Familiarity with vector databases, major open-source and hosted AI providers, large-scale data pipeline tools, cloud platforms, and distributed systems is a plus.

Air contributes 90% to medical, dental, and vision insurance and 75% to dependent coverage.
Employees receive life insurance, disability insurance, and membership to One Medical.
A generous work-from-home stipend and professional development reimbursement are provided.
Employees enjoy unlimited vacation days.
The company culture emphasizes a tireless pursuit of excellence, empathy in communication, and a focus on tackling problems without ego.
Air values diversity and welcomes individuals from all backgrounds, experiences, and perspectives.
The compensation range for this role is USD $160,000 to $264,000 if based in the US, and CAD $176,000 to $292,000 if based in Canada.