Senior AI Engineer - RAG & AI Agents

Iris.ai is a pioneering AI-first company on a mission to transform how humans discover and apply knowledge. For over a decade, we’ve built intelligent systems that empower researchers, engineers, and product teams to work faster and more precisely with scientific and technical data.

Our product suite — Neuralith, Axion, and RSpace — supports end-to-end AI development, from data orchestration and retrieval to LLM evaluation and deployment. At the core of our work are Retrieval-Augmented Generation (RAG) pipelines, LLM Evaluation Frameworks, and intelligent AI Agents that bring context-awareness, accuracy, and task-level reasoning to applied AI.

Backed by the European Innovation Council (EIC) and trusted by leading R&D teams across industries, we turn advanced AI research into real-world tools that help organizations solve high-impact problems.

Opportunity:

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.

Technologies used in the job include:

• 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 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

What you 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

Any of these is 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

LIFE AT IRIS OFFERS:

🌍 Impact

• Build responsible AI that shapes the future of science and tech

• Join a sharp, versatile team of ambitious builders

• Thrive in a flat structure with no corporate hierarchy, where every voice matters

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