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

Compensation:

• Competitive salary with annual reviews
• Stock options to share in our long-term success

Work Your Way:

• 30 days annual paid vacation + bonus days
• Flexible work hours
• Flexible work location – You choose where to work from
• Hybrid model or 100% remote work – You want it? – You have it!
• Regular Team building activities and travels
• Seasonal Working Camps (summer / winter)
• Personalized Work Equipment Allowance – choose your own Gear

Grow With Us:

• Learning & Development Allowance – we will sponsor you to Join global conferences or take upskilling courses
• Career Enhancement Plan
• New technologies introduction & testing opportunities
• Knowledge transfer, Work buddies, PairCoding, Mentorship opportunities, weekly Tech Deep Dives
• Workshops, Conferences, Hackathons
• Freedom to bring innovation and your ideas to life

Wellbeing & Perks:

• Free MultiSport card
• Cool Sofia office in a central location
• Private Health Insurance – Premium package
• Bi-annual health checks
• Charity and volunteer activities