Senior AI Engineer - RAG & AI Agents

Iris.ai; Brussel; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

30 days vacation

Learning & Development days

Private health insurance

Remote-first & flexible hours

Learning budget

Equipment budget

Team retreats

Job summary

Iris.ai is hiring a Senior AI Engineer to join a remote-first, AI-native team building production-ready AI systems powered by RAG, LLMs, and AI agents. You’ll work with researchers, engineers, and product managers to deliver features that help users reason over complex knowledge.

You’ll contribute across the full lifecycle, shaping how next-gen AI is evaluated, trusted, and adopted in real-world workflows. Join a mission-driven, globally distributed team.

Qualifications

• 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.

Responsibilities

• 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 RAG pipelines and LLM evaluation frameworks.
• 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.

Skills

Python

Django/Flask

REST APIs

Cloud

English

Remote work

Education

Advanced degree in Computer Science or related field

Tools

Django

Flask

PostgreSQL

Elasticsearch/OpenSearch

Torch/Transformers

SpaCy

Job description

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 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.