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Vetted Engineering Professionals in Remote
Pre-screened and vetted in Remote.
Popular Titles
Junior Software Engineer specializing in full-stack web and edge ML inference optimization
Senior Full-Stack Software Engineer specializing in React/Next.js, Node.js, and cloud platforms
Junior Full-Stack Software Engineer specializing in Python/React and AWS cloud deployments
Senior Full-Stack Engineer specializing in scalable web, mobile, and distributed systems
Senior Gameplay/Simulation Engineer specializing in Unreal Engine and graphics programming
Mid-level Full-Stack Software Engineer specializing in cloud-native web apps and AI-driven fraud detection
Mid-level Software Engineer specializing in databases, backend systems, and data-driven platforms
Senior QA Engineer specializing in automation, API testing, and embedded/mobile systems
Mid-level Full-Stack Software Engineer specializing in React, Node.js, and AWS
Mid-level Full-Stack Software Engineer specializing in Python and React
Junior Full-Stack & Mobile Software Engineer specializing in AI-enabled products
Senior DevOps/SRE Engineer specializing in multi-cloud Kubernetes and DevSecOps
Mid-Level Full-Stack Software Engineer specializing in cloud-native microservices and FinTech
Junior AI Engineer specializing in LLMs, enterprise automation, and bioinformatics
Mid-level QA Automation Engineer specializing in web, API, and CI/CD test automation
Mid-Level Software Engineer specializing in Java microservices and real-time systems
Junior AI Engineer specializing in LLM systems, RAG, and production data pipelines
Mid-level Full-Stack Software Engineer specializing in cloud-native FinTech and insurance systems
Vamsidhar Vuddagiri
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and Azure
“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”