Pre-screened and vetted.
Mid-level Full-Stack Developer specializing in AI and FinTech platforms
Senior Full-Stack Software Engineer specializing in web/mobile platforms and cloud microservices
Senior Full-Stack Software Engineer specializing in SaaS, cloud, and AI/LLM applications
Mid-level Full-Stack Developer specializing in cloud-native apps, AI/ML, and microservices
Executive Engineering Leader specializing in AI automation and cloud platforms
Junior Full-Stack Software Engineer specializing in React, Node.js, and cloud deployments
Senior Software Engineer specializing in cloud-native healthcare and financial services
Mid-level Software Engineer specializing in scalable backend and cloud-native systems
Staff Software Engineer specializing in FinTech eCommerce platforms
Senior Full-Stack Engineer specializing in backend systems and cloud-native microservices
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Senior Full-Stack Software Engineer specializing in scalable microservices and cloud platforms
Mid-Level Frontend Software Engineer specializing in React and React Native
Mid-level Full-Stack Developer specializing in React, Node.js, and Spring Boot
Mid-Level Full-Stack Python Engineer specializing in AI-powered web apps and cloud-native systems
Senior Software Engineer specializing in distributed systems and cloud-native microservices
Mid-level Software Engineer specializing in backend systems and FinTech
Mid-level Software Engineer specializing in backend systems, microservices, and AI search
Mid-Level Software Engineer specializing in distributed backend systems and cloud-native microservices
“Software engineer focused on data platforms and applied LLM systems: built an internal data quality monitoring layer to catch silent data drift and iterated post-launch after finding ~30% false-positive alerts, reducing noise via dynamic baselines and improved structured logging. Also shipped a production RAG-based internal knowledge assistant over Jira/Confluence with citations, confidence-based fallbacks, and nightly automated evals to prevent regressions.”