Senior AI Engineer - RAG & AI Agents
Iris.aiAbout the role
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
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Open-source contributions, academic research, or mentoring
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