Senior AI Engineer

h3Compensation Ownership /h3 h3Who Are We? /h3 pAt Iris.ai, we’re building an agentic AI platform that scales expert-level domain knowledge across entire organizations. /p pFor 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. /p pOur products — Neuralith, Axion, and RSpace — span the full GenAI lifecycle: /p ul liData ingestion across text, tables, figures, and technical formats /li liAdvanced RAG and indexing pipelines /li liAgentic orchestration and reasoning /li liRigorous LLM evaluation and governance /li /ul pWhat 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. /p h3The Role /h3 pAs 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. /p pYou’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. /p h3What You’ll Do /h3 ul liOwn the full development lifecycle
- from idea to architecture, implementation, testing, and delivery of real-world AI products /li liDesign and build robust AI systems, including Iris.ai’s proprietary Retrieval-Augmented Generation (RAG) pipelines and LLM Evaluation Frameworks used by leading RD teams /li liDrive innovation by testing new approaches and bringing new AI research into production /li liCollaborate across teams
- work closely with researchers, product managers, and fellow engineers to shape and ship powerful features /li liBuild systems for performance and reliability, ensuring they are scalable, testable, and maintainable /li liContribute to a global mission to transform how the world interacts with scientific knowledge and applied AI /li liThrive in a remote-first, agile environment, contributing meaningfully within a distributed, deep-tech team /li liKeep learning, always
- we’ll support you with space, mentorship, and resources to grow as an AI engineer /li /ul h3Our Tech Stack /h3 ul liPython Django /li liRelational databases (PostgreSQL) /li liNon-relational and vector databases (Elasticsearch / OpenSearch, ChromaDB, Couchbase) /li liAI / ML / NLP libraries (Gensim, Torch, Transformers, spaCy, Autogen, etc.) /li liCloud (AWS) /li liGenAI tools (Windsurf, Cursor, Amazon Q, Claude and other) /li liGit CI / CD /li /ul h3What We’re Looking For /h3 ul li5+ years in software development, including 3+ years with Python /li liSolid experience in web backends (Django/Flask), REST APIs, databases, and cloud infrastructure /li liFamiliarity with ML systems or motivation to learn in depth /li liAbility to work in a remote-first, collaborative environment /li liProficiency in English /li /ul h3Any Of These Would Be An Advantage /h3 ul liAdvanced degree in Computer Science or related field /li liPrevious work with LLMs, NLP, or AI model evaluation /li liExperience contributing to or using RAG systems in production /li liOpen-source contributions, academic research, or mentoring /li /ul h3Why Join Iris.ai /h3 pIf you want to do meaningful work and grow in a culture built on trust, rigor, and fairness
- let’s talk. /p h3We Believe In /h3 ul liReal transparency
- information is shared, context is open, and questions are welcome. /li liFairness, designed in policies, opportunities, and growth are aligned across countries and teams. /li liOwnership and empowerment to make decisions without micromanagement. /li liMetrics that guide us
- but they never replace human thinking or responsibility /li /ul h3Compensation Ownership /h3 h3Pay /h3 ul liCompensation 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. /li /ul h3Equity /h3 ul liWe 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. /li /ul p(Just imagine: Someone once bought a Tesla option for $1
- it's worth $400 today.) /p h3Benefits /h3 ul li30 days paid vacation /li li5 additional days paid vacation for Learning and Development /li liPrivate health insurance (premium coverage) and bi-annual health checks /li liFree MultiSport card or Fitness subscription coverage for your physical well-being /li liRemote-first flexible hours
- work where you're at your best /li liPersonal annual learning budget for conferences, courses,