
201 - 500 employees
🏠 Real Estate
Real Estate • Hospitality • Tech
Landing is a membership-based network offering premium furnished apartments and flexible-leasing options across the United States. With more than 7,000 apartments in 375+ cities, Landing provides customers with the opportunity to live anywhere, anytime, whether they are exploring multiple locations or staying in a single city. The company focuses on flexibility, comfort, and technology integration, allowing members to manage their reservations through an app. Benefits include local concierge support and membership perks such as savings on bookings. It caters to both individual residents and corporate housing needs.
🕒 3 days ago
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201 - 500 employees
🏠 Real Estate
Real Estate • Hospitality • Tech
Landing is a membership-based network offering premium furnished apartments and flexible-leasing options across the United States. With more than 7,000 apartments in 375+ cities, Landing provides customers with the opportunity to live anywhere, anytime, whether they are exploring multiple locations or staying in a single city. The company focuses on flexibility, comfort, and technology integration, allowing members to manage their reservations through an app. Benefits include local concierge support and membership perks such as savings on bookings. It caters to both individual residents and corporate housing needs.
• Build internal tools and customer-facing features on top of LLMs (OpenAI, Claude, open-source models) • Design and maintain prompt chains, RAG pipelines, and agent workflows • Prototype rapidly — often going from idea to working demo in days, not sprints • Evaluate model outputs, set up evals, and iterate on quality • Wire AI into existing systems (APIs, databases, CRMs, Slack, etc.) • Own the full stack of a feature — frontend, backend, model integration, deployment
• Demonstrable proof of using AI to create value-additive tools and products • Hands-on experience with LLM APIs (function calling, streaming, embeddings, fine-tuning) • Understanding of vector databases (Pinecone, Weaviate, pgvector), prompt engineering patterns, and basic ML concepts • Strong product instinct — able to talk to a non-technical stakeholder, understand the need, and build the right thing without a heavy spec • Data-driven — willing to dig deep into the data, often creating new reporting, to find the root causes of problems that need solving • Fluent English speaker
• Home office setup • Dynamic, fast-moving work environment • Continuous training and professional development opportunities • Stable employment with a U.S. company • Generous PTO policy
Apply Now🕒 4 days ago
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🕒 July 4
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Multidisciplinary Graphic Designer specialized in AI video generation to create engaging digital content. Collaborating across formats and disciplines for innovative AI-driven projects.
🕒 July 4
51 - 200
Multidisciplinary Graphic Designer specialized in AI video generation for creating engaging digital content. Collaborating with a creative team to develop content across various platforms and formats.