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Design and deploy production-ready AI systems, including LLM apps, RAG pipelines, and voice AI, for clients across healthcare, ecommerce, travel, and other sectors.
Build and maintain AI-assisted data pipelines and dashboards that integrate financial systems (e.g., QuickBooks) into a centralized PostgreSQL/Supabase cloud database, using Python/TypeScript, React/Next.js, and AI coding tools.
Build and deploy enterprise Generative AI platforms using Python, LLM frameworks, and AWS services like Bedrock and Lambda.
Build and maintain cloud-native infrastructure and developer tools to support AI development workflows using Python, Kubernetes, and Terraform across AWS/GCP/Azure.
Principal Engineer builds and scales a multi-tenant SaaS platform using .NET/C#, React, Azure, and AI features like LLM orchestration and RAG pipelines while leading distributed teams.
Develops and maintains a multi-agent AI voice dispatch assistant in Python on AWS, focusing on LLM orchestration, RAG pipelines, and secure backend APIs for scalable, production-grade voice AI systems.
Provide second-line support for an AI/ML platform, troubleshooting backend issues, scripting fixes in Python, and explaining model behavior to stakeholders.
Build and maintain ETL/ELT pipelines and cloud data integrations using Python, SQL, PostgreSQL, Snowflake, and AWS services to support enterprise data operations and platform integrations.
Design and maintain Snowflake data warehouses, secure data collaboration features, and ELT pipelines using SQL, Python, and AWS for a U.S. consumer insights client.
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