Pre-screened and vetted.
Mid-Level Software Engineer specializing in SaaS, mobile apps, and trading automation
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Junior Full-Stack Software Engineer specializing in Python/React and AI-powered web apps
Intern Full-Stack Software Engineer specializing in Node.js, AWS, and scalable backend systems
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Senior Full-Stack Software Engineer specializing in web apps and distributed systems
Entry-Level Full-Stack Engineer specializing in backend APIs and cloud architectures
Junior Full-Stack Developer specializing in AI integrations and LLM research
Intern Full-Stack Software Engineer specializing in cloud deployment and data analytics
Junior Full-Stack Engineer specializing in Next.js and modern web platforms
Mid-Level Full-Stack Software Engineer specializing in web apps and AI-powered tools
Junior AI Engineer specializing in production RAG systems and GPU-accelerated inference
Mid-level Full-Stack AI Engineer specializing in LLM systems and RAG
“Built and shipped a production "Campaign AI" multi-agent system (LangGraph) that personalizes B2B outbound emails at scale using Apollo.io prospect data, clustering-based segmentation, and 21 persona variants. Notably uncovered that high click rates were largely email security scanners and created a validated bot-detection/scoring pipeline (timestamps/IP/user-agent/click patterns), bringing reported engagement down from ~40% to a trusted 5–8% that aligned with real conversions.”
Junior AI Engineer specializing in LLMs, RAG systems, and MLOps
“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”
Senior Full-Stack Software Engineer specializing in AWS, TypeScript, and scalable microservices
“Frontend engineer who led the end-to-end UI for a virtual trivia/multiplayer game, including architecture (component-driven + design system), quality practices (TypeScript, linting/formatting, unit + E2E tests), and real-time synchronization for ~100 concurrent players using Pusher. Emphasizes pixel-perfect, mobile-first responsive delivery with Tailwind and design tokens, plus ongoing refactors for reusability and performance.”
Junior AI/ML Researcher specializing in deep learning, computer vision, and LLM applications
Senior Full-Stack AWS Developer specializing in cloud-native microservices and serverless systems
Junior Software/AI Engineer specializing in LLM agents and RAG systems