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