AI-powered talent marketplace connecting professionals with global opportunities
MetAntz operates a two-sided talent platform built on Python, FastAPI, React, and multi-cloud infrastructure (AWS + Azure). The stack reflects a company scaling toward autonomous matching workflows—production RAG systems and multi-agent systems are active projects—while grappling with cloud cost optimization and production reliability. Engineering-heavy hiring (8 roles, mostly senior/mid level) into India and the US signals rapid backend development to handle marketplace volume and agent complexity.
MetAntz is a talent marketplace that matches students and early-career professionals with high-paying roles globally. The platform operates as a two-sided network: candidates on one side, employers and recruiting workflows on the other. The tech infrastructure spans AWS (ECS, EKS, Lambda, RDS, DynamoDB) and Azure (App Service, Functions, OpenAI, SQL), with production applications in FastAPI and Flask, frontend in React/Next.js, and async job processing via Celery and RabbitMQ. Active projects include enterprise dashboards, cloud governance automation, and multi-agent systems for candidate-opportunity matching. The team is based in Palo Alto with current headcount in the 2–10 range.
Python, FastAPI, Flask, React, Next.js, PostgreSQL, MySQL, Redis, RabbitMQ, Celery, AWS (ECS, EKS, Lambda, RDS, DynamoDB), and Azure (App Service, Functions, OpenAI, SQL).
Production RAG systems, multi-agent workflows for enterprise applications, autonomous agent systems for talent matching, cloud governance finops automation, and enterprise dashboards.
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