Guidepoint is a research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we enable our clients to turn answers into action. Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint…
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The Experts at Finding Expertise
Description complète de l’entreprise
Guidepoint is a research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we enable our clients to turn answers into action.
Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.
For more information, visit www.guidepoint.com.
Abonnés LinkedIn
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Personnes associées sur LinkedIn
4 366
Bureaux déclarés
675 Avenue of the Americas, 2nd Floor, New York, NY 10010, US
8+ ansCandidates need 8+ years of software engineering experience, including 3+ years building production AI or LLM products, and strong Python skills. They need hands-on experience with multi-agent systems, cloud deployment, retrieval and LLM evaluation, plus a relevant degree and a track record of scaling production systems.
7+ ansCandidates need 7 to 10 years as an agile product manager, including building SaaS web and mobile products. They also need hands-on experience with AI tools and LLMs, strong leadership and communication skills, and familiarity with OKRs and agile methods.
6+ ansCandidates need 6+ years of backend software engineering experience with a Bachelor's degree, or 4+ years with a Master's, including production LLM and Generative AI work. Strong Python, cloud container deployment and experience with LLM evaluation and MLOps are required.
6+ ansCandidates need 6+ years of software engineering, including 2+ years building LLM-powered products in production, plus strong TypeScript or Python skills. Real-time systems experience and cloud-native production experience are required; Azure and voice AI experience are assets.
6+ ansCandidates need a bachelor's degree with 6+ years, or a master's degree with 4+ years, of backend and Generative AI engineering experience. They must have strong Python, cloud and container skills, and hands-on experience building LLM applications.