AI engineer

Iris.ai; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

30 дней оплачиваемого отпуска

5 дополнительных дней отпуска на обучe

Частная медицинская страховка

Карта MultiSport или спортивное покрыт

Remote-first & гибкий график

Бюджет на обучение и сертификации

Бюджет на персональное оборудование

Благотворительность и волонтерские活动

Регулярные техничекие обзоры, менторсн

Команды обучающие Camp-сессии

Job summary

Iris.ai ищет опытного AI-инженера-программиста для разработки и развертывания продуктовых AI-решений в удаленной, глобальной команде.

Выработайте архитектуру, реализуйте и внедрите RAG-пайплайны и фреймворки оценки LLM, работая над масштабируемыми системами с акцентом на качество и надежность.

Qualifications

• 5+ лет в разработке ПО, из них 3+ года на Python
• Опыт разработки веб-бэкэндов (Django/Flask), REST API, баз данных и облачной инфраструктуры
• Умение работать в удаленной, совместной среде
• Свободное владение английским языком

Responsibilities

• Полный цикл разработки — от идеи до архитектуры, реализации, тестирования и доставки реальных AI-продуктов
• Проектирование и сборка надежных AI-систем, включая RAG-пайплайны Iris.ai и фреймворки оценки LLM
• Стремление к инновациям и внедрению новых подходов в продакшн
• Сотрудничество с исследователями, PM и инженерами для формирования и выпуска функционала
• Обеспечение масштабируемости, тестируемости и поддерживаемости систем
• Участие в глобальной миссии по трансформации взаимодействия с научным знанием
• Работа в удаленном-first, гибкой среде и развитие как AI-инженера

Skills

Python

REST APIs

Databases

Web backends

English

Education

Advanced degree in Computer Science or related field

Tools

Django

Flask

AWS

GCP

Job description

Описание

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.

Задачи

• 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

Требования

• 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

Условия

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