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Vetted Embeddings Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in scalable ML systems and LLM applications
Mid-level AI/ML Engineer specializing in NLP, GenAI, and fraud/risk analytics
Mid-level Machine Learning Engineer specializing in Generative AI, LLMs, and MLOps
Staff GenAI Solutions Architect specializing in LLMs, RAG, and AI platforms
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and cloud deployment
Junior AI Engineer specializing in LLMs, enterprise automation, and bioinformatics
Mid-level GenAI/MLOps Engineer specializing in banking and healthcare LLM applications
Mid-level Machine Learning & AI Engineer specializing in LLMOps, digital twins, and RL
Mid-Level Full-Stack Engineer specializing in AI/ML and cloud-native web apps
Mid-level Data Analyst/Data Engineer specializing in machine learning and NLP
Mid-Level Full-Stack AI Engineer specializing in LLM integration and TypeScript tooling
Mid-level Software Engineer specializing in agentic AI and distributed backend systems
Mid-level Full-Stack Software Engineer specializing in cloud-native FinTech and insurance systems
Staff Full-Stack Engineer specializing in AI agents and cloud platforms
Senior Full-Stack Engineer specializing in web, mobile, and cloud applications
Senior Full-Stack Software Engineer specializing in cloud-native FinTech and data pipelines
Executive Technology Leader (CTO) specializing in E-commerce, SaaS, and AI
Shreevershith Kollabettu
Mid-level AI Engineer specializing in LLMs, agentic systems, and MLOps
“AI-focused engineer with Infosys experience building Azure/.NET chatbot applications and recent hands-on work with FastAPI/LangChain. Built a hackathon multi-agent legal counsel system showcasing agent orchestration, and emphasizes production readiness via Docker, GitHub Actions CI/CD, pytest automation, and adversarial simulations for auditable AI behavior. No direct robotics/ROS experience to date.”