Pre-screened and vetted.
Mid-level Software Engineer specializing in cloud-native microservices and full-stack systems
Senior Software Engineer specializing in backend systems and high-throughput data pipelines
Senior Software Engineer specializing in backend microservices and real-time data pipelines
Senior Backend Software Engineer specializing in AI-driven automation
Mid-level Software Engineer specializing in AI applications and distributed backend systems
Senior Full-Stack Software Engineer specializing in banking platforms on AWS
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Staff Software Engineer specializing in cloud, networking, and distributed systems
Senior Software Engineer specializing in FinTech and enterprise platforms
Executive CTO and engineering leader specializing in cloud, AI, and FinTech
Senior Backend Engineer specializing in Python and AWS cloud services
Junior Software Engineer specializing in backend and systems development
Mid-level Software Engineer specializing in scalable backend and cloud-native systems
Junior Machine Learning Engineer specializing in FinTech and scalable backend systems
Mid-level Backend & Full-Stack Engineer specializing in AWS serverless systems
Director-level Mobile App Engineer specializing in Flutter, AI, and web development
Mid-Level Software Development Engineer specializing in AWS edge AI and generative AI apps
Mid-level Software Engineer specializing in distributed data infrastructure
“Engineer who uses AI in a disciplined, practical way—leveraging it to speed debugging, generate edge-case tests, and improve coverage while retaining ownership of system design and production validation. Has experimented with chained AI tools but prefers simpler workflows when they reduce noise and review overhead.”
Mid-level AI Engineer specializing in LLM applications and enterprise automation
“Engineer with a notably mature AI-native development process: uses Claude/Claude Code in a test-first, iterative workflow and has led multi-agent builds across frontend, backend, and testing. Most notably, they led development of an AI voice agent platform, creating custom agent skills and enforcing clear architectural boundaries to deliver a stable, scalable system.”