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Vetted Full Stack Software Engineers in Remote
Pre-screened and vetted in Remote.
Senior Full-Stack Engineer specializing in AI platforms, real-time collaboration, and observability
Senior .NET Developer specializing in cloud-native microservices for healthcare and FinTech
Mid-level Full-Stack Developer specializing in AI-driven FinTech platforms
Mid-Level Full-Stack Java Developer specializing in FinTech and payments
Yunjie Liu
Junior Software Engineer specializing in bioinformatics and full-stack development
“Built and stabilized production data pipelines in clinical genomics, including integrating a qPCR step into Baylor Genetics' workflow with a focus on reliability, turnaround time, and reducing manual intervention. Also has hands-on LLM production experience, creating a Python/OpenAI-based translation evaluation pipeline that reduced manual review time by 70% and improved scoring consistency.”
Mid-Level Full-Stack Software Engineer specializing in React and clinical analytics SaaS
Mid-level Full-Stack Product Engineer specializing in B2B SaaS and AI search
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Mid-Level Full-Stack Software Engineer specializing in SaaS and cloud automation
Senior Full-Stack Software Engineer specializing in FinTech and financial applications
Senior Full-Stack Developer specializing in web APIs, microservices, and UI engineering
Junior Full-Stack & Mobile Software Engineer specializing in AI-enabled products
Senior Full-Stack Software Engineer specializing in web apps, integrations, and data pipelines
SAI KUMAR PUNUGUPATI
Junior Full-Stack Software Engineer specializing in AI workflows and LLM integrations
“Built and productionized an AI-assisted merchant onboarding automation workflow for Kort Payments, replacing slow manual underwriting document review with structured extraction, cross-document validation, and human-in-the-loop guardrails. Emphasizes reliability via scenario-based testing, repeatability checks, and deep observability (timestamped logs), plus incremental rollout with legacy fallback to prevent regressions.”
Mohammed Abdul Aziz
Junior Full-Stack Software Engineer specializing in AI-powered SaaS
“Full-stack engineer from an early-stage AI SaaS startup who owned and shipped a production AI-powered PDF document chat and sharing feature end-to-end (React/TS + Node + Postgres on AWS). Demonstrates strong product thinking through layered success metrics and tight feedback loops, plus hands-on reliability/observability work (CloudWatch, structured logging, alarms) and robust ingestion pipeline patterns (idempotency, retries, reconciliation).”