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

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: proficient 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

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

Solution Architect – Agentic Solutions

Key skills