{"id":2930325,"url":"https://alion.io/job/iris-ai-senior-ai-engineer-rag-ai-agents","title":"Senior AI Engineer - RAG & AI Agents","company":{"id":21304,"name":"Iris.ai","domain":"iris.ai","url":"https://alion.io/company/iris-ai","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Factorial","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_company_offices","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["NO"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":103000,"max_usd":236000,"period":"year","method":"global_role_seniority_cell","sample_n":2365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Django","optional":false},{"name":"Flask","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"AutoGen","optional":true},{"name":"AWS","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude","optional":true},{"name":"Couchbase","optional":true},{"name":"Cursor","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Gensim","optional":true},{"name":"Git","optional":true},{"name":"OpenSearch","optional":true},{"name":"PostgreSQL","optional":true},{"name":"spaCy","optional":true},{"name":"Transformers","optional":true},{"name":"Windsurf","optional":true}],"status":"live","first_seen_at":"2026-10-20T14:31:21Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-28T13:11:01Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Who Are We?\nAt Iris.ai, we’re building an agentic AI platform that scales expert-level domain knowledge across entire organizations.\nFor 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.\nOur products - Neuralith, Axion, and RSpace - span the full GenAI lifecycle:\n Data ingestion across text, tables, figures, and technical formats\n\n Advanced RAG and indexing pipelines\n\n Agentic orchestration and reasoning\n\n Rigorous LLM evaluation and governance\n\n 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.\nThe Role\nAs 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.\nYou’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.\nWhat You’ll Do\n Own the full development lifecycle - from idea to architecture, implementation, testing, and delivery of real-world AI products\n\n 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\n\n Drive innovation by testing new approaches and bringing new AI research into production\n\n Collaborate across teams - work closely with researchers, product managers, and fellow engineers to shape and ship powerful features\n\n Build systems for performance and reliability, ensuring they are scalable, testable, and maintainable\n\n Contribute to a global mission to transform how the world interacts with scientific knowledge and applied AI\n\n Thrive in a remote-first, agile environment, contributing meaningfully within a distributed, deep-tech team\n\n Keep learning, always - we’ll support you with space, mentorship, and resources to grow as an AI engineer\n\n Our Tech Stack\n Python & Django\n\n Relational databases (PostgreSQL)\n\n Non-relational and vector databases (Elasticsearch / OpenSearch, ChromaDB, Couchbase)\n\n AI / ML / NLP libraries (Gensim, Torch, Transformers, spaCy, Autogen, etc.)\n\n Cloud (AWS)\n\n GenAI tools (Windsurf, Cursor, Amazon Q, Claude and other)\n\n Git & CI / CD\n\n What We’re Looking For\n 5+ years in software development, including 3+ years with Python\n\n Solid experience in web backends (Django/Flask), REST APIs, databases, and cloud infrastructure\n\n Familiarity with ML systems or motivation to learn in depth\n\n Ability to work in a remote-first, collaborative environment\n\n Proficiency in English\n\n Any Of These Would Be An Advantage\n Advanced degree in Computer Science or related field\n\n Previous work with LLMs, NLP, or AI model evaluation\n\n Experience contributing to or using RAG systems in production\n\n Open-source contributions, academic research, or mentoring\n\n Why JoinIris.ai?\nIf you want to do meaningful work and grow in a culture built on trust, rigor, and fairness - let’s talk.\nWe’re not your typical tech company. We believe in:\n Real transparency - information is shared, context is open, and questions are welcome.\n\n Fairness, designed in policies, opportunities, and growth are aligned across countries and teams.\n\n Ownership and empowerment to make decisions without micromanagement.\n\n Metrics that guide us - but they never replace human thinking or responsibility\n\n Compensation & Ownership\nPay\nCompensation 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.\n\nEquity\nWe believe salary helps you get by. Stock options build wealth!\nAt 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.\n\n(Just imagine: Someone once bought a Tesla option for $1 - it's worth $400 today.)\nBenefits\nWe’ve built our benefits to reflect how we work: with trust, fairness, and room to grow.\n 30 days paid vacation\n\n 5 additional days paid vacation for Learning and Development\n\n Private health insurance (premium coverage) and bi-annual health checks\n\n Free MultiSport card or Fitness subscription coverage for your physical well-being\n\n Remote-first & flexible hours - work where you're at your best\n\n Personal annual learning budget for conferences, courses, or certifications\n\n Personal equipment budget to choose the gear that suits your style\n\n Charity and volunteer activities\n\n Seasonal working camps (summer & winter) and team retreats\n\n Ongoing growth through weekly tech deep dives, mentorship, pair coding, and knowledge-sharing\n\n Let’s Build the Future of Responsible AI\nIf you care about building high-quality, ethical AI - guided by data and human judgment - you’ll feel at home at Iris.ai.\nApply now or reach out with questions. 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