Senior AI Engineer – RAG, AI Agents

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🕒 May 19

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Iris.ai

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

⚕️ Healthcare Insurance

Artificial Intelligence • SaaS • Healthcare Insurance

Iris. ai is a market leader in AI solutions for Deep Knowledge Management, specializing in advanced automation and natural language processing techniques tailored for research and development. With over nine years of experience, Iris. ai develops tools that enhance the research process by streamlining labor-intensive tasks and enabling organizations to focus on strategic insights and breakthroughs. Their flagship product, RSpace™, is a secure platform that empowers R&D teams across various fields—including material science, biotech, and engineering—by providing powerful features such as smart searches, content analysis, and data extraction.

📋 Description

• 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

🎯 Requirements

• 5+ years in software development, including 3+ years with Python • Solid experience in web backends (Django/Flask), REST APIs, databases, and cloud infrastructure • Familiarity with ML systems or motivation to learn in depth • Ability to work in a remote-first, collaborative environment • Proficiency in English.

🏖️ Benefits

• 30 days paid vacation • 5 additional days paid vacation for Learning and Development • Private health insurance (premium coverage) and bi-annual health checks • Free MultiSport card or Fitness subscription coverage for your physical well-being • Remote-first & flexible hours — work where you're at your best • Personal annual learning budget for conferences, courses, or certifications • Personal equipment budget to choose the gear that suits your style • Charity and volunteer activities • Seasonal working camps (summer & winter) and team retreats • Ongoing growth through weekly tech deep dives, mentorship, pair coding, and knowledge-sharing