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Vetted Software Engineers in Remote
Pre-screened and vetted in Remote.
Mid-Level Software Engineer specializing in FinTech and AI-driven automation
Mid-Level Full-Stack Java Developer specializing in FinTech and payments
Mid-level Software Engineer specializing in AI developer tooling and FinTech systems
Mid-level Full-Stack Software Engineer specializing in scalable web apps and cloud infrastructure
Mid-level Full-Stack & AI Engineer specializing in backend systems and Voice AI
Mid-level Front-End Software Engineer specializing in FinTech and healthcare UI
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices and AI personalization
Mid-level Full-Stack Developer specializing in FinTech payments and microservices
Mid-level Full-Stack Engineer specializing in web, mobile, and startup product development
Ryan McDowell
Senior Software Engineer specializing in pricing, marketplaces, and data engineering
“Built and operationalized intelligent pricing infrastructure for live event ticketing at StubHub, emphasizing iterative prototyping with traders and production-grade monitoring (Splunk, API/data-stream thresholding). Also partnered with customer-facing teams to drive adoption and helped win a significant consignment revenue-share deal by demoing the system to the Philadelphia 76ers and quantifying pricing efficacy and business impact.”
Senior Software Engineer / Solutions Architect specializing in data platforms and AI/LLM integration
Senior Full-Stack Engineer specializing in backend systems and data pipelines
Mid-level Full-Stack Engineer specializing in microservices and cloud (AWS)
Mid-level Software Engineer specializing in full-stack, cloud, and AI systems
Jahnavi Bellapukonda
Mid-Level Software Engineer specializing in full-stack web and cloud systems
“Full-stack engineer with strong data engineering and privacy-domain experience, having owned an automated Data Subject Rights (DSR) processing pipeline end-to-end across Azure SQL and GCP (GCS/BigQuery). Emphasizes production reliability via idempotency, validation checkpoints, structured logging/monitoring, and safe CI/CD-driven deployments, and has also built React+TypeScript + Node/Postgres web apps with scalable, maintainable architecture.”
Charlotte Yu
Junior Full-Stack AI Engineer specializing in LLM apps and RAG systems
“Built and shipped a production LLM-powered “Vet agent” that automates pet symptom intake across multimodal inputs (images/files/text/speech) and provides analysis/home-care guidance, reaching thousands of daily active users within two months. Demonstrates strong agent engineering fundamentals: state-machine orchestration with structured JSON, tool/schema validation, high-availability routing/failover, and rigorous offline/online evaluation loops with trace-driven reliability improvements.”