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Company Description
StellarSearch.ai is a specialist executive search and recruitment partner dedicated to helping AI-native startups in New York and San Francisco assemble world-class founding engineering teams. Operating at the intersection of frontier research and real-world productization, the firm focuses on the top 0.01% of technical talentengineers, researchers, and product-oriented builders who are pushing multimodal AI from papers to production. Its network is deliberately cultivated beyond traditional job boards, leveraging deep research into publications, open-source contributions, and GitHub profiles to surface candidates who shape LLM copilots, agentic workflows, retrieval pipelines, and proprietary foundation models. StellarSearch.ais core expertise spans video generation and computer vision, image generation, and speech and audio processing, as well as adjacent areas such as multimodal research, conversational AI, and perception systems for robotics and autonomy where LiDAR, vision, and audio inputs converge. Designed for speed and precision, the firm delivers highly vetted submissions within 24 hours, maintains an average time-to-hire of 17 days, and backs placements with a 60-day guarantee. Engagement models include retained and contingent success-based searches tailored to the scope and complexity of each mandate. Beyond technical hires, StellarSearch.ai also supports critical early GTM roles to build out the entire founding bench, placing research engineers, research scientists, MLEs, software and infrastructure engineers, and select commercial talent in sales and marketing. With a client-first approach, round-the-clock communication, and rigorous candidate evaluation, the firm reports standout outcomes, including 100% client satisfaction, 92% placement success, and a 98% candidate retention rate. By combining deep technical fluency with a uniquely curated network, StellarSearch.ai consistently connects AI startups and labs with the builders behind the breakthroughs, enabling them to ship faster, scale responsibly, and win their category.
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