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Senior AI Engineer (LLMs / RAG / AI Agents)
Worldwide | Oct. 1, 2026
Company: Niuro
Country: Worldwide
Salary: $48,000 - $60,000
Type: Remote
Employment: Full-time
Description: Niuro connects projects with elite tech teams, collaborating with leading U.S. companies. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality.
Niuro connects projects with elite tech teams and partners with top-tier U.S. companies. We specialize in providing autonomous, high-performance engineering teams and managing all administrative tasks so engineers can focus on delivering impactful results. Our mission is to simplify global talent acquisition through innovative solutions that maximize efficiency and quality, while offering continuous professional growth, technical and soft skills training, and leadership development. This role sits in a 100% remote, globally distributed environment, with opportunities to work on challenging industrial data projects and contribute to long-term collaborations with major U.S. clients. Niuro is a talent engineering company that connects top tech professionals with leading companies, combining AI agents with human review by experienced talent engineers across 17+ countries. For this role, we're recruiting on behalf of an Argentina-based HR and technology services partner that places specialized tech talent with its enterprise clients across Latin America. The end client will be confirmed during the selection process; the position sits within an AI & Data team focused on bringing generative AI into digital products. As a Senior AI Engineer, you'll build LLM-powered solutions (AI copilots, intelligent agents and RAG-based search and knowledge systems) that integrate into the client's applications through production-grade APIs and services. You'll work closely with product and engineering teams, owning each AI feature end to end, from prototype to deployment and monitoring. You'll join an AI & Data team as a senior engineer, working independently while collaborating closely with engineering and product teams. You'll design and implement LLM-based solutions such as RAG systems, AI agents, copilots and other generative AI applications. You'll fine-tune, evaluate and deploy both proprietary and open-source foundation models, and build scalable APIs and services that integrate AI into applications. You'll own the full lifecycle of AI features, from experimentation and prototyping through deployment and monitoring. You'll work with DevOps on CI/CD and infrastructure as code, and implement observability, error tracking and performance monitoring for AI systems. You'll also contribute to AI architecture discussions, share knowledge and mentor other engineers, and look for new opportunities to bring AI into products. Success means going beyond prototypes: reliable, observable AI features running in production and delivering real business value.
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