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
Mid-Level Full-Stack Software Engineer specializing in React and clinical analytics SaaS
Mid-level Full-Stack Java Engineer specializing in cloud microservices
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 HealthTech and SaaS
Senior Full-Stack Software Engineer specializing in SaaS and Healthcare
Senior Backend & AI Engineer specializing in production LLM systems
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
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.”
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).”