Senior Engineer (AI Engineer)

Cloud Platforms: Extensive experience with the AWS ecosystem, specifically services that support AI/ML (Bedrock, SageMaker, ECS/EKS). DevOps Mastery: Deep knowledge of containerization (Docker/Kubernetes) and automated deployment strategies (Blue/Green, Canary). AI/ML Exposure: Practical experience with Large Language Models (LLMs), Prompt Engineering, and fine-tuning strategies.

Programming: Expert-level Python (FastAPI, Flask) and familiarity with AI libraries like LangChain, LlamaIndex, or Hugging Face. Data Layers: Experience with SQL and NoSQL databases, as well as Vector Databases for semantic search. Monitoring: Hands-on experience with observability tools for both infrastructure and model health.