Job Url: https://www.remoterocketship.com/company/air-inc/jobs/applied-ai-engineer-united-states

Job Description: 
AIRINC
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Focused on workforce globalization, AIRINC provides compensation insights, allowances, technology and advice to facilitate global and domestic mobility.

Expatriate Compensation • Policy Design • Benchmarking • Strategy • Data Collection - Cost of Living


51 - 200 employees

Applied AI Engineer
February 15

🇺🇸 United States – Remote

💵 $160k - $264k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

Airflow

AWS

Azure

Cloud

Distributed Systems

Docker

ElasticSearch

Electron

Google Cloud Platform

Kafka

Kubernetes

Node.js

Python

PyTorch

React

Spark

Tensorflow

TypeScript

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📋 Description
• 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’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.
• You’ll have the opportunity to lead initiatives that make a significant impact.
• 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.
• To help us filter genuine candidates, include the code AIR-ENG-2025 in the designated field of the application form.

🎯 Requirements
• 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

🏖️ 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.
• We offer a generous work from home stipend, professional development reimbursement, and unlimited vacation days.
• We are always seeking ways to invest in the long-term health, wellness, and continued education of our employees.

Apply Now