Senior AI Engineer

Compensation & Ownership

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

• 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

Why Join Iris.ai

If you want to do meaningful work and grow in a culture built on trust, rigor, and fairness - let’s talk.

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 empowerment 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

• 30 days paid vacation
• 5 additional days paid vacation for Learning and Development
• Private health insurance (premium coverage) and bi-annual health checks
• Free Mu