Pre-screened and vetted.
Junior Full-Stack Software Engineer specializing in cloud, distributed systems, and AI
Mid-level ML Engineer specializing in AI systems and LLM infrastructure
Senior Backend Engineer specializing in cloud-native microservices and AI integrations
Mid-level DevOps/Cloud Engineer specializing in CI/CD, IaC, and Kubernetes on AWS/Azure
Senior Full-Stack Engineer specializing in Python, cloud-native SaaS, and data pipelines
Senior Full-Stack/Backend Engineer specializing in distributed systems and cloud-native platforms
Senior Full-Stack Software Engineer specializing in AI/LLM-powered web applications
Mid-level Full-Stack Developer specializing in Java, Spring Boot microservices, and Angular
Senior Full-Stack Python Engineer specializing in AI/LLM-powered web applications
Senior Python Full-Stack Engineer specializing in cloud-native scalable systems
Senior Backend/Full-Stack Engineer specializing in cloud-native APIs and data platforms
Executive engineering leader specializing in SaaS platform architecture
Senior Java Developer specializing in cloud-native microservices and event-driven systems
Senior Machine Learning Engineer specializing in Generative AI and MLOps
Staff/Lead DevOps & Site Reliability Engineer specializing in cloud infrastructure and Kubernetes
Senior Full-Stack Engineer specializing in Python, React, and cloud-native AI features
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Mid-level Data Scientist specializing in NLP, RAG, and information retrieval for RegTech
“Built and deployed a production document Q&A/research platform that combines semantic search (vector DB embeddings) with structured knowledge-graph querying to reduce analyst research time. Used in high-stakes domains like Politically Exposed Person profiling and extracting critical information from ESG/regulatory documents, with a human-in-the-loop evaluation process (precision@k and source-text highlighting) to ensure accuracy.”
Senior Full-Stack & Machine Learning Engineer specializing in scalable SaaS and cloud AI
“Frontend engineer who led an enterprise self-serve analytics dashboard end-to-end using a micro-frontend React/TypeScript architecture with strong integration discipline (contracts, CI gates, ADRs). Demonstrated measurable performance wins (35% faster LCP) through code splitting, lazy loading, and tighter Redux subscriptions, and uses feature flags plus automated E2E coverage for controlled rollouts.”