Applied AI Engineer

$121,624 – $217,710 · Posted today

San DiegoLast seen today

Summary

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and workflows, focusing on end-to-end model implementation, fine-tuning, and production deployment on AWS. The role requires collaborating with cloud engineering and ML Ops teams to operationalize AI workloads using SageMaker, Lambda, ECS/EKS, and S3, while building data pipelines with Snowflake for feature engineering. Responsibilities include monitoring model performance, troubleshooting issues, implementing cost and reliability optimizations, and documenting AI systems for compliance and knowledge sharing. The position requires 3+ years of AI/ML engineering experience with 1–2 years focused on generative AI or LLMs, hands-on cloud deployment experience (preferably AWS), and proficiency in Python and ML frameworks like PyTorch, TensorFlow, or Hugging Face Transformers.

Data Science DevOps / Infrastructure AI AWS Docker Kubernetes Machine Learning Python AWS Certified Machine Learning Specialty AWS Certified Solutions Architect AWS Lambda AWS Sagemaker CI CD Ecs Eks ELT ETL Feature Engineering Generative AI Hugging Face Transformers Iso 27001 LLM Large Language Models Mlops PyTorch Retrieval Augmented Generation S3 Snowflake Soc 2 TensorFlow Transformers