
11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
🔬 Science
💰 $50M Series A on 2025-05
Artificial Intelligence • Science
Nous Research is a US-based leader in the open-source AI movement that trains large open-source language models and builds infrastructure to coordinate distributed, unbiased training. Its stated mission is to advance human rights and freedoms by creating and proliferating open-source language models, supporting their unrestricted availability and use, and furthering scientific and popular understanding of these models. The company focuses on applied AI research areas including model architecture, data synthesis, fine-tuning, and reasoning, and provides tooling and platforms (e. g. , Hermes, Nous Portal, Psyche, Nous Chat, simulators) to accelerate model development and deployment.
🔥 2 hours ago
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11 - 50 employees
Founded 2023
🤖 Artificial Intelligence
🔬 Science
💰 $50M Series A on 2025-05
Artificial Intelligence • Science
Nous Research is a US-based leader in the open-source AI movement that trains large open-source language models and builds infrastructure to coordinate distributed, unbiased training. Its stated mission is to advance human rights and freedoms by creating and proliferating open-source language models, supporting their unrestricted availability and use, and furthering scientific and popular understanding of these models. The company focuses on applied AI research areas including model architecture, data synthesis, fine-tuning, and reasoning, and provides tooling and platforms (e. g. , Hermes, Nous Portal, Psyche, Nous Chat, simulators) to accelerate model development and deployment.
• Deploy Hermes Agent Enterprise across cloud, on-premises, and hybrid customer environments. • Integrate enterprise APIs, internal data sources, authentication systems, and business applications into agent workflows. • Partner directly with customers to scope requirements, implement solutions, and iterate based on feedback. • Debug and resolve production issues across infrastructure, orchestration, integrations, and AI application layers. • Build reusable deployment patterns, tooling, and best practices that improve implementation speed and reliability. • Collaborate with engineering and research teams to influence product direction based on customer needs. • Improve deployment observability, monitoring, and operational tooling to support production AI systems. • Document deployment architectures, integration guides, and customer implementation patterns.
• 5+ years of software engineering or solutions engineering experience building and deploying production systems. • Experience working directly with enterprise customers or cross-functional stakeholders to deliver technical solutions. • Strong debugging skills across distributed systems, backend services, and cloud infrastructure. • Comfortable working across backend engineering, infrastructure, APIs, and AI application layers. • Excellent communication skills with the ability to translate complex technical concepts into practical customer solutions. • Entrepreneurial mindset with the ability to thrive in fast-moving, ambiguous environments.
• Health insurance • Paid time off • Flexible work arrangements
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