Tech Lead

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: We are looking for a Tech Lead to take a key role in guiding the development of our AI products and platform. This is a senior technical position combining deep engineering expertise with leadership. You will contribute hands‑on to our Python-based AI stack while mentoring engineers, shaping architecture, and ensuring that ideas move rapidly from concept to production. As Tech Lead you will lead a small, talented engineering team building advanced AI products. You will collaborate with product managers and researchers to align technical decisions with business goals, drive innovation, resolve blockers, and foster a culture of knowledge sharing. You will guide architectural decisions, maintain high technical standards, while coding side-by-side with the team mates. What You’ll Do: - Design, implement and deliver scalable AI-driven software systems using Python. - Drive innovation: research, test and adopt new technologies to enhance development productivity. - Collaborate with cross-functional teams to define, design, and ship new features. - Participate in the full development cycle from specification to deployment. - Provide technical guidance and mentorship to team members, ensuring code quality and best practices. - Guide architectural decisions and ensure alignment with product strategy. - Participate in hiring, onboarding and performance reviews of engineers. 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: - 2+ years of leadership or team management experience (Tech Lead, Team Lead, Engineering Manager, etc.). - At least 7 years of experience in software development. - Minimum 3 years of professional Python experience. - Solid experience in web backends (Django/Flask), REST APIs, databases, and cloud infrastructure - Familiarity with ML systems or motivation to learn in depth - Strong knowledge of architectural and software design patterns. - Bachelor’s degree in Computer Science, Software Engineering or similar. - Ability to teach and transfer knowledge to others. - Proficient analytical and problem-solving skills. - Fluent English. Any Of These Would Be An Advantage: - Masters 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 - Open-source contributions, academic research, or mentoring Why Join Iris.ai? If you want to do meaningful engineering 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 empoweredness 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 Development - Private health insurance (premium coverage) and bi-annual health checks - Free MultiSport card or Fitness subscription coverage for your physical well-being - Remote-first & flexible hours — work where you're at your best - Personal annual learning budget for conferences, courses, or certifications - Personal equipment budget to choose the gear that suits your style - Charity and volunteer activities - Seasonal working camps (summer & winter) and team retreats - Ongoing 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.