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Vetted Semantic Search Professionals
Pre-screened and vetted.
Junior AI/LLM Engineer specializing in voice agents, RAG, and robotics systems
Junior Machine Learning Engineer specializing in LLMs and multimodal AI
Senior Full-Stack Engineer specializing in cloud-native SaaS and AI-integrated platforms
Junior Data Systems Analyst specializing in ML, NLP, and cloud deployment
Junior ML Engineer specializing in search, retrieval, and recommendation systems
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines
Mid-level Software Engineer specializing in backend systems, data pipelines, and AI/RAG
Mid-level Full-Stack Developer specializing in React, Node.js, and AI automation
Junior Generative AI Engineer specializing in LLM systems and RAG
Entry-Level Software Engineer specializing in healthcare data and AI-enabled tools
Mid-level Backend/Full-Stack Software Engineer specializing in AWS, Node.js, and AI integrations
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Junior AI Engineer specializing in production RAG systems and GPU-accelerated inference
Entry-level Full-Stack Engineer specializing in AI-powered applications
Lalith Kambala
Junior Full-Stack Engineer specializing in AI-powered web applications
“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”
Sadir Ahmed Zidan
Junior AI/ML Engineer specializing in LLMs, RAG, and computer vision
“AI engineer with hands-on experience shipping production systems across semantic search, RAG/LLM applications, and computer vision. Built a personalized e-commerce search platform with measurable relevance and latency gains, and deployed grounded GenAI chat systems that significantly reduced hallucinations while lowering support burden. Also brings edge-deployment experience in monocular depth estimation and 3D reconstruction, suggesting strong breadth across modern applied AI.”
“Early-career full-stack engineer who has not yet shipped a professional customer-facing product but has built sophisticated AI-driven systems in personal/academic work, including a multi-tenant AI knowledge base (async ingestion, pgvector semantic search, SSE real-time updates, knowledge graphs) and an AI-powered code review assistant designed to process thousands of jobs via Redis/BullMQ.”
Entry-Level Full-Stack AI Engineer specializing in RAG pipelines and enterprise SaaS