Senior Python Backend Engineer Frenzy AI is building a next-generation personalization and search platform for e-commerce. We’re looking for a Senior Backend Engineer to help scale the Python backend powering live e-commerce experiences.This is a backend-first role focused on scalability, search, API performance, and integrating machine learning workflows into production environments. The ideal candidate is senior, hands-on, self-driven, and comfortable working in a small team where ownership and fast learning are essential.ResponsibilitiesBuild and scale backend APIs for live e-commerce use casesDevelop and improve backend functionality for search systemsWork on scalability, performance, reliability, and cost optimizationImprove API response times and server-side platform performanceIntegrate machine learning workflows into backend production systemsBuild and support backend components for search, personalization, and recommendation use casesWork with technologies such as Python, Flask, MySQL, Redis, Elasticsearch, and AWSOwn features end-to-end, from design and development to deployment, monitoring, and supportCollaborate closely with the backend lead and broader team while taking responsibility for core backend workStrong backend engineering experience with Python, ideally Flask or DjangoProven experience building production-grade REST APIsHands-on experience with MySQL and RedisStrong experience with ElasticsearchPractical experience with semantic search, relevance tuning, ranking, or recommendation systemsStrong experience with AWS; ECS experience is preferredExperience with AWS data services such as Athena, DynamoDB, Firehose, and S3Experience with GitHub workflows, CloudFormation, and CI/CD pipelinesWorking knowledge of JavaScript and ReactProven experience operating high-scale, low-latency production systemsExperience working with large codebases or large applications at scaleExperience integrating AI/ML workflows into production environmentsAbility to work independently, learn quickly, and contribute without heavy day-to-day hand-holdingFamiliarity with Shopify APIs or the Shopify ecosystem is a plus, but not requiredRemote role open to candidates across Latin AmericaOpportunity to work on a high-scale e-commerce personalization and search platformBackend-first role with strong ownership over production systemsWork closely with a small team where your contributions can have direct impactExposure to search, recommendation systems, scalability, and AI/ML production workflows Frenzy AI is building a next-generation personalization and search platform for e-commerce. We’re looking for a Senior Backend Engineer to help scale the Python backend powering live e-commerce experiences.This is a backend-first role focused on scalability, search, API performance, and integrating machine learning workflows into production environments. The ideal candidate is senior, hands-on, self-driven, and comfortable working in a small team where ownership and fast learning are essential.ResponsibilitiesBuild and scale backend APIs for live e-commerce use casesDevelop and improve backend functionality for search systemsWork on scalability, performance, reliability, and cost optimizationImprove API response times and server-side platform performanceIntegrate machine learning workflows into backend production systemsBuild and support backend components for search, personalization, and recommendation use casesWork with technologies such as Python, Flask, MySQL, Redis, Elasticsearch, and AWSOwn features end-to-end, from design and development to deployment, monitoring, and supportCollaborate closely with the backend lead and broader team while taking responsibility for core backend work Strong backend engineering experience with Python, ideally Flask or DjangoProven experience building production-grade REST APIsHands-on experience with MySQL and RedisStrong experience with ElasticsearchPractical experience with semantic search, relevance tuning, ranking, or recommendation systemsStrong experience with AWS; ECS experience is preferredExperience with AWS data services such as Athena, DynamoDB, Firehose, and S3Experience with GitHub workflows, CloudFormation, and CI/CD pipelinesWorking knowledge of JavaScript and ReactProven experience operating high-scale, low-latency production systemsExperience working with large codebases or large applications at scaleExperience integrating AI/ML workflows into production environmentsAbility to work independently, learn quickly, and contribute without heavy day-to-day hand-holdingFamiliarity with Shopify APIs or the Shopify ecosystem is a plus, but not required