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Vetted Llama Professionals
Pre-screened and vetted.
Mid-level AI & Data Engineer specializing in cloud ML, RAG systems, and ETL automation
Mid-level AI Engineer & Data Scientist specializing in LLM agents and RAG systems
Mid-level Full-Stack Developer specializing in real-time systems, AI features, and payments
Senior AI/ML Engineer specializing in Generative AI, RAG, and multimodal LLM systems
Junior AI Engineer specializing in NLP, LLMs, and recommender systems
Mid-level Machine Learning Engineer specializing in Generative AI and LLMOps
Director-level Lead Full-Stack Engineer specializing in scalable SaaS and AI automation
Mid-level AI Product Engineer and Data Analyst specializing in LLM automation
Mid-level Software Engineer specializing in FinTech and AI-powered systems
Junior Software Engineer specializing in backend AI systems
Mid-Level Full-Stack Software Engineer specializing in backend APIs and cloud-native FinTech
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Mid-level Generative AI Engineer specializing in LLMs, RAG, and NLP systems
Junior Full-Stack Software Engineer specializing in cloud, distributed systems, and AI
Mid-level Realtime AI Systems Engineer specializing in voice and streaming infrastructure
Senior Machine Learning Engineer specializing in Generative AI and MLOps
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Lando Ringel
Senior Unity Developer specializing in AR/VR, AI, and game systems
“Game developer with a distinctive niche in integrating LLM-driven dialogue directly into Unity gameplay, including a full web-hosted architecture using llama.cpp, FastAPI, and cloud GPUs for real-time NPC interaction. Also brings VR/mobile optimization experience from a drone simulation project at GovScio, combining AI systems thinking with practical 3D environment and performance work.”
Yash Mahajan
Junior Software Engineer specializing in AI, full-stack development, and applied ML
“AI/full-stack product builder who has shipped production agentic systems in both customer support analytics and medical claims automation. They combine React/Next.js frontends with Python-based async backends and LLM orchestration, delivering measurable outcomes like 60% cost savings, 40% less manual review, and reducing claims processing from 30 minutes to 20 seconds.”