Pre-screened and vetted.
Senior Software Engineer specializing in ML-enabled FinTech SaaS
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior Software Engineer specializing in Python, APIs, and cloud-native integrations
Mid-level Software Engineer specializing in backend, ML platforms, and FinTech
Senior Full-Stack Engineer specializing in healthcare, cloud, real estate, and FinTech
Mid-level Software Engineer specializing in backend distributed systems and cloud platforms
“Software engineer at Intel who owns a production Go/Kubernetes backend for supply-chain transparency and end-to-end hardware integrity verification in a hybrid cloud setup (AWS control plane + Azure data plane). Also built and shipped an AI agent workflow for real-estate due diligence that turns raw Excel spreadsheets into structured investment outputs and auto-generated PowerPoint insights using LangGraph, with strong emphasis on verification, observability, and reliability guardrails.”
Senior Full-Stack Python Developer specializing in cloud-native RAG and microservices
Principal Full-Stack Software Engineer specializing in IoT/IIoT platforms
Senior Full-Stack Engineer specializing in cloud-native .NET microservices
Senior Software Engineer specializing in scalable backend systems and full-stack web apps
Senior Full-Stack Engineer specializing in Healthcare and FinTech platforms
Intern Software Engineer specializing in AI/ML and LLM retrieval systems
Mid-Level Backend Software Engineer specializing in FinTech and cloud-native platforms
Mid-level Full-Stack Engineer specializing in AI platforms and FinTech
Senior Machine Learning Engineer specializing in LLMs and Generative AI
Senior Backend Engineer specializing in Healthcare & Cloud Platforms
Mid-level Software Engineer specializing in backend systems, billing, and real-time data pipelines
Senior Full-Stack Engineer specializing in AI, cloud, and enterprise platforms
Mid Software Engineer specializing in backend systems and AI-enabled platforms
“Full-stack engineer with hands-on ownership of a support ticket intelligence platform, spanning React/TypeScript frontend work and backend API, PostgreSQL, Redis, and Docker-based deployment. They stand out for driving practical architecture and performance improvements in production, including moving heavy processing async and cutting response times from about 300ms to 150ms while improving reliability.”