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Full Stack AI Engineer
Intone Inc
3 hours ago
Full-time
On-site
Kentucky, United States
We are seeking a Full Stack AI Engineer for a contract role based in Malvern, Pennsylvania. This is a 6+ month engagement focused on designing, building, and optimizing AI-driven tools that streamline Continuous Integration and deployment pipelines. You will work closely with Product Owners to identify engineering pain points, evaluate return on investment, and deliver high-impact solutions.
Responsibilities
Partner with Product Owners to identify deployment bottlenecks and build custom AI tools that maximize operational return on investment.
Improve and scale an AI client assistant to proactively resolve customer issues and decrease support ticket volume.
Diagnose and resolve complex system issues, including identifying and optimizing slow database queries.
Conduct full-stack development and troubleshooting across the platform.
Qualifications
Required
Heavy experience with AWS Bedrock and Anthropic models.
Robust Python development skills with a full-stack engineering mindset.
Deep AWS cloud knowledge, specifically with ECS deployment, AWS Lambda, and API Gateway security.
Solid understanding of database architecture and the ability to diagnose performance and query bottlenecks.
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Responsibilities
Partner with Product Owners to identify deployment bottlenecks and build custom AI tools that maximize operational return on investment.
Improve and scale an AI client assistant to proactively resolve customer issues and decrease support ticket volume.
Diagnose and resolve complex system issues, including identifying and optimizing slow database queries.
Conduct full-stack development and troubleshooting across the platform.
Qualifications
Required
Heavy experience with AWS Bedrock and Anthropic models.
Robust Python development skills with a full-stack engineering mindset.
Deep AWS cloud knowledge, specifically with ECS deployment, AWS Lambda, and API Gateway security.
Solid understanding of database architecture and the ability to diagnose performance and query bottlenecks.
#J-18808-Ljbffr