AI Engineer

• Own the full development lifecycle — from idea to architecture, implementation, testing, and delivery of real-world AI products
• Design and build robust AI systems, including Iris.ai ’s proprietary Retrieval-Augmented Generation (RAG) pipelines and LLM Evaluation Frameworks used by leading R&D teams
• Drive innovation by testing new approaches and bringing new AI research into production
• Collaborate across teams — work closely with researchers, product managers, and fellow engineers to shape and ship powerful features
• Build systems for performance and reliability, ensuring they are scalable, testable, and maintainable
• Contribute to a global mission to transform how the world interacts with scientific knowledge and applied AI
• Thrive in a remote-first, agile environment, contributing meaningfully within a distributed, deep-tech team
• Keep learning, always — we’ll support you with space, mentorship, and resources to grow as an AI engineer

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Senior AI Engineer – RAG, AI Agents