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Tech Stack
Tools & technologiesCloudDjangoFlaskPython
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonDjangoFlaskREST APIsdatabasescloud infrastructureAI systemsRetrieval-Augmented Generation (RAG)LLM Evaluation Frameworkssoftware development
Soft Skills
collaborationinnovationadaptabilitycommunicationremote workmentorshipproblem-solvingteamworklearningagility