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 Solution Architect 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 will play a pivotal role in shaping next-generation AI Agents that bring context-awareness, accuracy, and complex reasoning to real-world problems. You will work alongside our commercial, product and development teams to design, prototype, and deploy intelligent systems - leveraging our Neuralith, Axion, and RSpace products. Your focus will be to help leading Enterprise organizations find ways to apply Iris.ai's technologies to reach value generation in the shortest path possible.
Technologies used in the job include:
- Rapid prototyping tools (AI-Assisted Coding - Windsurf, Cursor, Flowise, Lovable, etc.)
- Cloud & Infrastructure (AWS/GCP/Azure, Kubernetes, Docker, Terraform)
- Retrieval-Augmented Generation (RAG) pipelines (ChromaDB, SentenceEmbeddings, LLMs )
- AI Agent frameworks (Autogen)
- Machine Learning stacks (PyTorch, TensorFlow, etc.)
- Backend & APIs (Python, Django, etc.)
- Git & CI / CD
WHAT YOU’LL DO:
- Design end-to-end Agentic solutions based on Iris.ai’s products for our Enterprise clients: design modular pipelines that combine Data Ingestion, RAG, LLM evaluation, and autonomous decision-making into cohesive workflows that bring direct value to the client.
- Rapid prototyping - rapidly spin up proof-of-concepts, run benchmarks on accuracy and reasoning performance, and iterate based on real-world data with the client.
- Integration and deployment - You will collaborate with the Tech team to deliver, orchestrate, and monitor AI Agents in production environments.
- Engage in sessions with the Client - You will translate customer requirements into technical designs, run technical sessions with the Client, and provide best-practice guidance for AI adoption.
- Collaborate in a cross-dimensional team. Work closely with sales managers, product managers, engineers, designers and researchers to align architecture with product vision and user needs.
- Drive innovation by testing new approaches with the Clients and bringing new ideas to the product team.
- Focus client systems on performance and reliability, ensuring they are scalable, testable, and maintainable
- 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 client facing product oriented jobs - ideally in AI/ML or data-driven platforms.
- Deep understanding of LLMs & RAG - 1+ year hands-on experience (prompt engineering / retrieval pipelines / evaluation metrics )
- Strong software engineering skills: profficeint in Python, API design, and microservices
- Cloud proficiency: designing and operating scalable services on AWS, GCP, or Azure.
- Solid experience in web development (Django/Flask/REST)
- Excellent communication: able to convey complex technical concepts to both technical and non-technical stakeholders.
- Problem-solver mindset: keen analytical skills, resourcefulness, and a drive to tackle ambiguous challenges.
- 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
- Certification in cloud computing
- Previous experience with deployment of RAG solutions in scalable production environment
- 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