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Vetted PyTorch Professionals
Pre-screened and vetted.
Junior Systems & Backend Software Engineer specializing in cloud infrastructure and healthcare data
Junior Full-Stack & iOS Engineer specializing in social video and AI products
Mid-Level Software Engineer specializing in backend systems, data pipelines, and observability
Mid-level AI/ML Engineer specializing in GenAI, RAG platforms, and ML pipelines
Senior Software Engineer specializing in Golang backend, cloud-native systems, and LLM/RAG platforms
Junior AI/Software Engineer specializing in NLP, LLMs, and automated testing
Mid-Level Software Engineer specializing in full-stack, APIs, and embedded/IoT systems
Mid-Level Software Engineer specializing in full-stack development and data/ML systems
Entry-Level Full-Stack Software Engineer specializing in cloud-native microservices
Junior Robotics Engineer specializing in ROS2, autonomy, and deep reinforcement learning
Mid-level Data Scientist specializing in fraud detection and credit risk ML
Junior AI Engineer specializing in LLM agents, RAG, and computer vision
Junior Machine Learning Engineer specializing in LLMs and conversational AI
Senior AI Engineer & Data Scientist specializing in LLM agents and forecasting
Senior Software Engineer specializing in backend systems, analytics, and LLM agent workflows
Mid-Level Java Full-Stack Developer specializing in Spring Boot microservices and cloud
Mid-level Full-Stack Software Developer specializing in cloud, AI automation, and web applications
Senior Python Developer specializing in FastAPI/Django, AWS, and data/AI platforms
Senior Full-Stack Software Engineer specializing in Python, Django, React, and AI/ML
Junior Full-Stack Software Engineer specializing in AI and RAG applications
Junior Software Engineer specializing in AI/ML and real-time perception systems
Junior Software Engineer specializing in secure backend systems and DevOps automation
Director-level Engineering Manager specializing in real-time AI systems and scalable microservices
Junior AI Engineer specializing in LLM applications, RAG pipelines, and cloud deployment