Senior AI Engineer - RAG & AI Agents

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 formatsAdvanced RAG and indexing pipelinesAgentic orchestration and reasoningRigorous 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 productsDesign and build robust AI systems, including Iris.ai’s proprietary Retrieval-Augmented Generation (RAG) pipelines and LLM Evaluation Frameworks used by leading R&D teamsDrive innovation by testing new approaches and bringing new AI research into productionCollaborate across teams — work closely with researchers, product managers, and fellow engineers to shape and ship powerful featuresBuild systems for performance and reliability, ensuring they are scalable, testable, and maintainableContribute to a global mission to transform how the world interacts with scientific knowledge and applied AIThrive in a remote-first, agile environment, contributing meaningfully within a distributed, deep-tech teamKeep learning, always — we’ll support you with space, mentorship, and resources to grow as an AI engineer

Our Tech Stack

Python & DjangoRelational 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 PythonSolid experience in web backends (Django/Flask), REST APIs, databases, and cloud infrastructureFamiliarity with ML systems or motivation to learn in depthAbility to work in a remote-first, collaborative environmentProficiency in English

Any Of These Would Be An Advantage

Advanced degree in Computer Science or related fieldPrevious work with LLMs, NLP, or AI model evaluationExperience contributing to or using RAG systems in productionOpen-source contributions, academic research, or mentoring

🌱 Why Join Iris.ai?

If you want to do meaningful work and grow in a culture built on trust, rigor, and fairness — let’s talk.

We’re not your typical tech company. We believe in:

Real transparency — information is shared, context is open, and questions are welcome.Fairness, designed in policies, opportunities, and growth are aligned across countries and teams.Ownership and empowerment to make decisions without micromanagement.Metrics that guide us — but they never replace human thinking or responsibility

Compensation & Ownership

💸 Pay

Compensation that reflects your value. Our salaries are typically 25% above local market averages, ensuring competitive, fair pay across regions and roles. And we review it annually.

💸 Equity

We believe salary helps you get by. Stock options build wealth! At Iris.ai all colleagues receive ownership in the company, part of our ESOP pool (3%). Because when we grow, you grow — that's what shared success really means.

(Just imagine: Someone once bought a Tesla option for $1 — it's worth $400 today.)

🧘 Benefits

We’ve built our benefits to reflect how we work: with trust, fairness, and room to grow.

30 days paid vacation 5 additional days paid vacation for Learning and DevelopmentPrivate health insurance (premium coverage) and bi-annual health checksFree MultiSport card or Fitness subscription coverage for your physical well-beingRemote-first & flexible hours — work where you're at your bestPersonal annual learning budget for conferences, courses, or certificationsPersonal equipment budget to choose the gear that suits your styleCharity and volunteer activitiesSeasonal working camps (summer & winter) and team retreatsOngoing growth through weekly tech deep dives, mentorship, pair coding, and knowledge-sharing

🚀 Let’s Build the Future of Responsible AI

If you care about building high-quality, ethical AI — guided by data and human judgment — you’ll feel at home at Iris.ai.

👉 Apply now or reach out with questions. We’re transparent by default.