Job Description

Who Are We?

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.

The Role

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.

What You’ll Do

• 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

Our Tech Stack

• 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

What We’re Looking For

• 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

Any Of These Would Be An Advantage

• 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

🌱 Why Join Iris.ai?

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

Compensation & Ownership

💸 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.)

🧘 Benefits

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

🚀 Let’s Build the Future of Responsible AI

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.