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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.
Our products - Neuralith, Axion, and RSpace - span the full GenAI lifecycle:
Data ingestion across text, tables, figures, and technical formats
Advanced RAG and indexing pipelines
Agentic orchestration and reasoning
Rigorous LLM evaluation and governance
What makes us different: we care deeply about accuracy, evaluation, and responsibility. We don’t optimize for demos and proof-of-concepts we optimize for systems that experts trust and use.
As a Senior AI Engineer at Iris.ai, you’ll join a remote-first, AI-native team focused on building production-ready systems powered by RAG, LLMs, and AI agents. You’ll collaborate with research scientists, engineers, and product managers to design and deliver AI features that go beyond generation — helping users navigate, reason, and act on complex knowledge.
You’ll work across the full development lifecycle, from design to deployment, and play a key role in shaping how next-gen AI is evaluated, trusted, and adopted in real-world workflows.
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
Python & Django
Relational databases (PostgreSQL)
Non-relational and vector databases (Elasticsearch / OpenSearch, ChromaDB, Couchbase)
AI / ML / NLP libraries (Gensim, Torch, Transformers, spaCy, Autogen, etc.)
Cloud (AWS)
GenAI tools (Windsurf, Cursor, Amazon Q, Claude and other)
Git & CI / CD
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
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
If you want to do meaningful engineering work and grow in a culture built on trust, rigor, and fairness — let’s talk.
We’re not your typical tech company. We believe in:
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 empoweredness to make decisions without micromanagement.
Metrics that guide us — but they never replace human thinking or responsibility
💸 Pay
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.
💸 Equity
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.
(Just imagine: Someone once bought a Tesla option for $1 — it's worth $400 today.)
We’ve built our benefits to reflect how we work: with trust, fairness, and room to grow.
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
If you care about building high-quality, ethical AI — guided by data and human judgment — you’ll feel at home at Iris.ai.
👉 Apply now or reach out with questions. We’re transparent by default.