AI engineer

At Iris.ai, we’re building an agentic AI platform that scales expert-level domain knowledge across entire organizations. For more than a decade, we’ve worked at the intersection of scientific research, industrial data, and applied AI, helping researchers, engineers, and business teams reason over complex technical knowledge.

• 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

• 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
• Будет плюсом: Advanced degree in Computer Science or related field; Previous work with LLMs, NLP, or AI model evaluation; Experience contributing to or using RAG systems in production; Open-source contributions, academic research, or mentoring

• Real transparency — information is shared, context is open, and questions are welcome.
• Fairness, designed in policies, opportunities, and growth are aligned across countries and teams.
• Ownership and empowerment to make decisions without micromanagement.
• Metrics that guide us — but they never replace human thinking or responsibility
• Compensation that reflects your value. Our salaries are typically 25% above local market averages, ensuring competitive, fair pay across regions and roles. And we review it annually.
• We believe salary helps you get by. Stock options build wealth! At Iris.ai all colleagues receive ownership in the company, part of our ESOP pool (3%). Because when we grow, you grow — that's what shared success really means.
• 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