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Vetted Django Professionals
Pre-screened and vetted.
Principal Software Engineer specializing in enterprise AI/ML and multi-cloud architecture
Intern Software Engineer specializing in cloud, backend systems, and LLM-powered tooling
Mid-level Software Engineer specializing in full-stack cloud and embedded systems
Mid-level Backend Software Engineer specializing in microservices and cloud APIs
Junior Full-Stack/AI Engineer specializing in mobile apps, data pipelines, and agentic systems
Mid-Level Software Engineer specializing in distributed systems and FinTech
Junior Full-Stack Software Engineer specializing in web platforms and algorithms
Mid-Level Software Developer specializing in FinTech and AI-enabled systems
Mid-level Full-Stack Developer specializing in Java/Spring Boot, React, and cloud microservices
Intern AI/Software Engineer specializing in LLM agents and full-stack automation
Intern Machine Learning Engineer specializing in recommender systems and financial risk modeling
Mid-level Full-Stack Developer specializing in .NET, Python/Django, and cloud-native web apps
Mid-level Software Engineer specializing in backend systems, cloud microservices, and AI-driven automation
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and LLM/RAG systems
Junior Full-Stack Software Engineer specializing in Real Estate SaaS and AI automation
Mid-Level Full-Stack Software Engineer specializing in FinTech and AI risk scoring
Senior Full-Stack & AI/ML Engineer specializing in cloud-native platforms and LLM systems
Mid-level Full-Stack Developer specializing in FinTech and fraud detection
Junior AI Product Engineer specializing in LLM workflows and analytics automation
Mid-Level Software Engineer specializing in AI platforms and backend systems
Matthew Mullins
Senior Software Engineer specializing in AI/ML backend and cloud infrastructure
“Backend/data platform engineer with production experience at Walmart and Molina Healthcare, building Python microservices on AWS (EKS + Lambda) for real-time inventory and recommendation systems. Strong in reliability/observability and incident leadership, plus modernizing legacy healthcare workflows and building resilient AWS Glue/PySpark pipelines with schema evolution and data quality controls.”