Applied AI Engineer

Posted 5 days agoViewed

💎 Seniority level: Senior, 6+ years in a production application, 3+ years in an applied AI/ML supporting role

📍 Location: United States

💸 Salary: 160000.0 - 264000.0 USD per year

🔍 Industry: Creative Operations

🏢 Company: Air👥 51-100💰 $10,000,000 about 3 years agoProductivity Tools Digital Media Content Collaboration Cloud Storage

🗣️ Languages: English

⏳ Experience: 6+ years in a production application, 3+ years in an applied AI/ML supporting role

🪄 Skills: AWSDockerPythonElasticSearchKubernetesMachine LearningMLFlowPyTorchTensorflowCI/CD

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 and providing technical leadership.
Ability to research, architect, deploy, and maintain complex AI/ML systems at scale.
Deep experience with semantic and vector search techniques leveraging search engines like Elasticsearch, Lucene, Solr.
Proven track record in evaluating and implementing AI solutions.
Strong background in Python for ML development, deep learning frameworks (PyTorch, TensorFlow), and advanced ML Ops (Docker/Kubernetes, AWS SageMaker, MLflow).
Familiarity with vector databases (Pinecone, Weaviate), open-source AI providers (OpenAI, AWS Bedrock), large-scale data pipelines (Airflow, Kafka, Spark), cloud platforms (AWS, GCP, Azure), and distributed systems.

Responsibilities:

Help shape the future of creative work as the first Applied AI Engineer.
Play a pivotal role in building intelligent systems that power the platform.
Deliver cutting-edge search and discovery capabilities to teams worldwide.
Work closely with engineers, cofounders, marketing, and cross-functional teams.
Lead initiatives that research, architect, deploy AI/ML systems, and level up engineering teams.

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