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Vetted Engineering Professionals
Pre-screened and vetted.
Popular Titles
Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems
Senior Technical Support Engineer specializing in cloud and container security
Mid-level QA Engineer specializing in manual and automation testing for web, mobile, and APIs
Mid-Level Full-Stack & Cloud Engineer specializing in scalable distributed systems
Mid-level Backend/Data Engineer specializing in legal data pipelines and APIs
Senior Unity Developer and Graphics Programmer specializing in real-time 3D and AR/VR
Mid-level Full-Stack Software Engineer specializing in FinTech
Entry-level Software Engineer specializing in systems and healthcare data
Mid-level Software Developer specializing in backend, cloud-native systems, and AI automation
Senior Full-Stack Engineer specializing in web, mobile, and product growth
Senior Software Engineer specializing in backend systems and data engineering
Senior Software Engineer specializing in backend systems and FinTech screening platforms
Senior Software Engineer specializing in backend data platforms for FinTech
Senior Full-Stack Engineer specializing in cloud-native AI and SaaS platforms
Mid-level Full-Stack Java Developer specializing in cloud-native AI platforms
Mid-level Software Engineer specializing in Unity game development and graphics engineering
Senior Full-Stack Engineer specializing in backend, cloud, and AI systems
Luka Baljak
Senior Software Engineer specializing in full-stack web and AI-powered SaaS
“Frontend-leaning product engineer who took broad ownership of a recently launched AI-powered customer support chat designed to deflect support tickets. They designed the overall system, built the full frontend, contributed to backend work, and served as a key source of product and technical continuity for a globally distributed team.”
Jayadeep Nukala
Mid-level Full-Stack Engineer specializing in AI platforms and FinTech
“Built full-stack and AI-driven products spanning banking KYC modernization and enterprise software testing automation. Particularly strong in productionizing LLM workflows in regulated environments, using deterministic orchestration, RAG, and human-in-the-loop controls to improve test coverage to 80% and reduce QA reporting burden by over 50%.”